Cloud Data Loss Prevention (Cloud DLP) 現已併入機密資料保護。API 名稱維持不變：Cloud Data Loss Prevention API (DLP API)。如要瞭解構成 Sensitive Data Protection 的服務，請參閱「Sensitive Data Protection 總覽」。

Google 會運用 AI 技術將內容翻譯成你偏好的語言，但可能會出錯。

轉換參考資料

本主題說明 Sensitive Data Protection 提供的去識別化技術或轉換。

去識別化技術類型

選擇要去識別化的轉換方式時，應考量要去識別化的資料類型，以及去識別化的目的。Sensitive Data Protection 支援的去識別化技術大致分為下列類別：

刪減：刪除所有或部分偵測到的機密值。
替換：將偵測到的機密值替換為指定代理值。
遮蔽：將機密值的多個字元替換為指定代理字元，例如井字號 (#) 或星號 (*)。
加密式代碼化：使用加密編譯金鑰加密原始機密資料值。Sensitive Data Protection 支援多種代碼化類型，包括可反轉或「重新識別」的轉換。
特徵分塊：將機密值替換為某個範圍的值，藉此將機密值「一般化」(例如，將特定年齡替換為某個年齡層，或是將溫度替換為對應至「熱」、「適中」和「冷」的範圍)。
日期轉移：將機密資料值轉移隨機時間長度。
時間擷取：擷取或保留日期和時間值的指定部分。

本主題的其餘部分將介紹各種去識別化轉換類型，並提供使用範例。

轉換方法

下表列出 Sensitive Data Protection 提供的轉換功能，可用於去識別化機密資料：

轉換	物件	說明	可反向₁	參照完整性₂	輸入類型
刪減	`RedactConfig`	透過移除的方式刪減值。			不限
替換	`ReplaceValueConfig`	將每個輸入值替換為指定的值。			不限
替換為字典	`ReplaceDictionaryConfig`	將輸入值替換為從字詞清單中隨機選取的值。			不限
替換為 infoType	`ReplaceWithInfoTypeConfig`	將輸入值替換為其 infoType 名稱。			不限
使用字元遮蔽	`CharacterMaskConfig`	將指定的字元數替換為指定的固定字元，以完全或局部遮蔽字串。			不限
將輸入值替換為加密編譯雜湊以進行匿名化	`CryptoHashConfig`	使用指定的資料加密金鑰，將輸入值替換為產生的 32 位元組十六進位字串。詳情請參閱匿名化概念說明文件一文。		✔	字串或整數
替換為保留代碼的加密編譯格式以進行匿名化	`CryptoReplaceFfxFpeConfig`	重要事項：除非必須保留輸入字母空間和大小，否則請勿使用 `CryptoReplaceFfxFpeConfig` 方法。 `CryptoReplaceFfxFpeConfig` 方法的執行速度可能非常慢，且對字母大小和權杖數量有限制，因此彈性不如 `CryptoDeterministicConfig` 方法。`CryptoDeterministicConfig` 方法對輸入內容沒有任何限制，而且速度更快。詳情請參閱「匿名化」。使用格式保留加密 (FPE) 和 FFX 作業模式，將輸入值替換為長度相同的權杖或代理值。這樣一來，輸出內容就能用於對長度進行格式驗證的系統。這項功能適用於必須維持字串長度的舊版系統。重要事項：如果輸入內容長度不一或長度超過 32 個位元組，請使用 `CryptoDeterministicConfig`。為確保安全，美國國家標準暨技術研究院建議採用下列限制： radix^max_size <= 2^128。 radix^min_len >= 100	✔	✔	字元數有限且長度一致的字串或整數。字母表必須由至少 2 個字元組成，且不得超過 95 個字元。
替換為加密編譯代碼以進行匿名化	`CryptoDeterministicConfig`	使用合成初始向量模式的 AES (AES-SIV)，將輸入值替換為相同長度的代碼或代理值。與格式保留權杖化不同，這種轉換方法對於支援的字串字元集沒有限制、會為每個相同的輸入值產生相同的權杖，並且會使用代理值，在有原始加密金鑰的情況下進行重新識別化。	✔	✔	不限
根據固定大小範圍對值進行特徵分塊	`FixedSizeBucketingConfig`	將輸入值替換為值區或輸入值落入的範圍，以遮蔽輸入值。			不限
根據自訂大小範圍的值區值	`BucketingConfig`	根據可由使用者設定的範圍及替換值的值區輸入值。			不限
日期轉移	`DateShiftConfig`	按隨機天數轉移日期，並提供讓相同背景資訊保持一致的選項。		✔ 保留順序和時間長度	日期/時間
擷取時間資料	`TimePartConfig`	擷取或保留 `Date`、`Timestamp` 和 `TimeOfDay` 值的一部分。			日期/時間

註腳

¹ 可復原的轉換作業可以復原，以便使用 content.reidentify 方法重新識別機密資料。

² 參照完整性可讓記錄維持彼此之間的關係，同時仍能對資料進行去識別化。舉例來說，如果使用相同的加密金鑰和情境，資料每次轉換時都會替換成相同的模糊處理形式，因此可保留記錄之間的連結。

遮蓋

如要直接從輸入內容中移除機密資料，Sensitive Data Protection 支援遮蓋轉換 (DLP API 中的 RedactConfig)。

舉例來說，假設您想對所有 EMAIL_ADDRESS infoType 執行簡單的遮蓋作業，並將下列字串傳送至 Sensitive Data Protection：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

傳回的字串將顯示以下內容：

My name is Alicia Abernathy, and my email address is .

下列 JSON 範例和多種語言的程式碼，說明如何建立 API 要求，以及 DLP API 傳回的內容。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyDataUsingRedactWithMatchedInputValues
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct redact config.
        var redactConfig = new RedactConfig();

        // Construct deidentify config using redact config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            RedactConfig = redactConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyWithRedact de-identify the data by redacting with matched input values
func deidentifyWithRedact(w io.Writer, projectID, inputStr string, infoTypeNames []string) error {
	// projectID := "my-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the content to be inspected.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Define type of de-identification.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_RedactConfig{
			RedactConfig: &dlppb.RedactConfig{},
		},
	}

	// Associate de-identification type with info type.
	transformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes:               infoTypes,
		PrimitiveTransformation: primitiveTransformation,
	}

	// Construct the configuration for the Redact request and list all desired transformations.
	redactConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: redactConfig,
		InspectConfig:    inspectConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", resp.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RedactConfig;

public class DeIdentifyWithRedaction {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect =
        "My name is Alicia Abernathy, and my email address is aabernathy@example.com.";
    deIdentifyWithRedaction(projectId, textToInspect);
  }

  // Inspects the provided text.
  public static void deIdentifyWithRedaction(String projectId, String textToRedact) {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify the content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Define type of deidentification.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setRedactConfig(RedactConfig.getDefaultInstance())
              .build();
      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to deidentify
// const string =
//   'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// See https://cloud.google.com/dlp/docs/concepts-infotypes for more information
// about supported infoTypes.
// const infoTypes = [{name: 'EMAIL_ADDRESS'}];

async function deIdentifyRedaction() {
  // Construct deidentify configuration
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [
        {
          infoTypes: infoTypes,
          primitiveTransformation: {
            redactConfig: {},
          },
        },
      ],
    },
  };

  // Construct inspect configuration
  const inspectConfig = {
    infoTypes: infoTypes,
  };

  // Construct Item
  const item = {
    value: string,
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    item,
    deidentifyConfig,
    inspectConfig,
  };

  // Send the request and receive response from the service
  const [response] = await dlp.deidentifyContent(request);

  // Print the results
  console.log(`Text after redaction: ${response.item.value}`);
}

deIdentifyRedaction();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RedactConfig;

/**
 * De-identify data: Redacting with matched input values
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by redacting matched input values.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect         The string to deidentify (will be treated as text).
 */
function deidentify_redact(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToInspect = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'

): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify the content to be de-identify.
    $contentItem = (new ContentItem())
        ->setValue($textToInspect);

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    // Define type of de-identification.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setRedactConfig(new RedactConfig());

    // Associate de-identification type with info type.
    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$infoType])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the Redact request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations((new InfoTypeTransformations())
            ->setTransformations([$transformation]));

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print results
    printf('Text after redaction: %s', $response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from typing import List

import google.cloud.dlp


def deidentify_with_redact(
    project: str,
    input_str: str,
    info_types: List[str],
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by redacting matched input values.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [{"primitive_transformation": {"redact_config": {}}}]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

如要進一步瞭解如何搭配使用 DLP API 和 JSON，請參閱 JSON 快速入門導覽課程。

HTTP 方法和網址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

將 PROJECT_ID 替換為專案 ID。

JSON 輸入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "redactConfig":{
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 輸出內容

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "redactConfig":{
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

替換

替換轉換會將每個輸入值替換為指定代碼值，或是其 infoType 的名稱。

基本替換

基本替換轉換 (DLP API 中的 ReplaceValueConfig) 會將偵測到的機密資料值替換為您指定的值。舉例來說，假設您指示 Sensitive Data Protection 使用「[fake@example.com]」取代所有偵測到的 EMAIL_ADDRESS infoType，並將下列字串傳送至 Sensitive Data Protection：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

傳回的字串將顯示以下內容：

My name is Alicia Abernathy, and my email address is [fake@example.com].

下列 JSON 範例和多種語言的程式碼，說明如何建立 API 要求，以及 DLP API 傳回的內容。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string replaceText = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Set the info type if null.
        var infotypes = infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infotypes }
        };

        // Construct the replace value config.
        var replaceConfig = new ReplaceValueConfig
        {
            NewValue = new Value { StringValue = replaceText ?? "[email-address]" }
        };

        // Construct the deidentify config using replace value config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        InfoTypes = { infotypes },
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceConfig = replaceConfig
                        }
                    }
                },
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyWithReplacement de-identifies sensitive data by replacing matched input values
func deidentifyWithReplacement(w io.Writer, projectID, inputStr string, infoTypeNames []string, replaceVal string) error {
	// projectId := "your-project-id"
	// inputStr := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
	// infoTypeNames := []string{"EMAIL_ADDRESS"}
	// replaceVal := "[email-address]"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// item to be analyzed
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{Value: inputStr},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, v := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: v})
	}
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify replacement string to be used for the finding.
	replaceValueConfig := &dlppb.ReplaceValueConfig{
		NewValue: &dlppb.Value{
			Type: &dlppb.Value_StringValue{
				StringValue: replaceVal,
			},
		},
	}

	// Define type of de-identification as replacement.
	primitiveTransformation := &dlppb.PrimitiveTransformation_ReplaceConfig{
		ReplaceConfig: replaceValueConfig,
	}

	// Associate de-identification type with info type.
	infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes: infoTypes,
		PrimitiveTransformation: &dlppb.PrimitiveTransformation{
			Transformation: primitiveTransformation,
		},
	}

	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					infoTypeTransformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceValueConfig;
import com.google.privacy.dlp.v2.Value;

public class DeIdentifyWithReplacement {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToInspect =
        "My name is Alicia Abernathy, and my email address is aabernathy@example.com.";
    deIdentifyWithReplacement(projectId, textToInspect);
  }

  // Inspects the provided text.
  public static void deIdentifyWithReplacement(String projectId, String textToRedact) {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify the content to be inspected.
      ContentItem item = ContentItem.newBuilder().setValue(textToRedact).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();
      // Specify replacement string to be used for the finding.
      ReplaceValueConfig replaceValueConfig =
          ReplaceValueConfig.newBuilder()
              .setNewValue(Value.newBuilder().setStringValue("[email-address]").build())
              .build();
      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder().setReplaceConfig(replaceValueConfig).build();
      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig redactConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Construct the Redact request to be sent by the client.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(redactConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results
      System.out.println("Text after redaction: " + response.getItem().getValue());
    } catch (Exception e) {
      System.out.println("Error during inspectString: \n" + e.toString());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My SSN is 372819127';

// The string to replace sensitive information with
// const replacement = "[REDACTED]"

async function deidentifyWithReplacement() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              replaceConfig: {
                newValue: {
                  stringValue: replacement,
                },
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithReplacement();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceValueConfig;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify sensitive data: Replacing matched input values.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string by replacing matched input values with a value that you specify.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $string            The string to deidentify (will be treated as text).
 */

function deidentify_replace(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify the content to be deidentify.
    $content = (new ContentItem())
        ->setValue($string);

    // Specify the type of info the inspection will look for.
    $emailAddressInfoType = (new InfoType())
        ->setName('EMAIL_ADDRESS');

    // Create the configuration object
    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddressInfoType]);

    // Specify replacement string to be used for the finding.
    $replaceValueConfig = (new ReplaceValueConfig())
        ->setNewValue((new Value())
            ->setStringValue('[email-address]'));

    // Define type of deidentification as replacement.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceConfig($replaceValueConfig);

    // Associate deidentification type with info type.
    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes([$emailAddressInfoType]);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Construct the configuration for the Redact request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Deidentified content: %s' . PHP_EOL, $response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from typing import List

import google.cloud.dlp


def deidentify_with_replace(
    project: str,
    input_str: str,
    info_types: List[str],
    replacement_str: str = "REPLACEMENT_STR",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by replacing matched input values with a value you specify.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        replacement_str: The string to replace all values that match given
            info types.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "replace_config": {
                            "new_value": {"string_value": replacement_str}
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

如要進一步瞭解如何搭配使用 DLP API 和 JSON，請參閱 JSON 快速入門導覽課程。

HTTP 方法和網址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

將 PROJECT_ID 替換為專案 ID。

JSON 輸入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "replaceConfig":{
              "newValue":{
                "stringValue":"[email-address]"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 輸出內容

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is [email-address]."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "replaceConfig":{
            "newValue":{
              "stringValue":"[email-address]"
            }
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

字典替換

字典替換 (ReplaceDictionaryConfig) 會將偵測到的每項機密資料，替換為 Sensitive Data Protection 從您提供的字詞清單中隨機選取的值。如要使用實際的替代值，這個轉換方法就很實用。

假設您希望 Sensitive Data Protection 偵測電子郵件地址，並將偵測到的每個值替換為三個代理電子郵件地址之一。

您將下列輸入字串和替代電子郵件地址清單傳送至 Sensitive Data Protection：

輸入字串

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

字詞清單

izumi@example.com
alex@example.com
tal@example.com

傳回的字串可以是下列任一值：

My name is Alicia Abernathy, and my email address is izumi@example.com.

My name is Alicia Abernathy, and my email address is alex@example.com.

My name is Alicia Abernathy, and my email address is tal@example.com.

下列 JSON 範例說明如何建立 API 要求，以及 DLP API 傳回的內容。

如要進一步瞭解如何透過 JSON 使用 DLP API，請參閱 JSON 快速入門導覽課程。

HTTP 方法和網址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

將 PROJECT_ID 替換為專案 ID。

JSON 輸入

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig": {
    "infoTypeTransformations": {
      "transformations": [
        {
          "infoTypes": [
            {
              "name": "EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation": {
            "replaceDictionaryConfig": {
              "wordList": {
                "words": [
                  "izumi@example.com",
                  "alex@example.com",
                  "tal@example.com"
                ]
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 輸出內容

{
  "item": {
    "value": "My name is Alicia Abernathy, and my email address is izumi@example.com."
  },
  "overview": {
    "transformedBytes": "22",
    "transformationSummaries": [
      {
        "infoType": {
          "name": "EMAIL_ADDRESS"
        },
        "transformation": {
          "replaceDictionaryConfig": {
            "wordList": {
              "words": [
                "izumi@example.com",
                "alex@example.com",
                "tal@example.com"
              ]
            }
          }
        },
        "results": [
          {
            "count": "1",
            "code": "SUCCESS"
          }
        ],
        "transformedBytes": "22"
      }
    ]
  }
}

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyDataUsingDictionaryReplacement
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        IEnumerable<InfoType> infoTypes = null,
        IEnumerable<string> words = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoTypes ?? new InfoType[] { new InfoType { Name = "EMAIL_ADDRESS" } } },
        };

        // Construct dictionary replace config by specifying the list of value which will
        // be replaced by any mentioned values below.
        var replaceConfig = new ReplaceDictionaryConfig
        {
            WordList = new CustomInfoType.Types.Dictionary.Types.WordList
            {
                Words =
                {
                    words ?? new string[]
                    {
                        "izumi@example.com", "alex@example.com", "tal@example.com"
                    }
                }
            }
        };

        // Construct deidentify config using above created replace config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            ReplaceDictionaryConfig = replaceConfig
                        }
                    }
                }
            }
        };

        // Construct a request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Check the deidentified content.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyDataReplaceWithDictionary de-identifies sensitive data in a string by replacing
// each piece of detected sensitive data with a value that Cloud DLP randomly selects from
// a list of words that you provide.
func deidentifyDataReplaceWithDictionary(w io.Writer, projectID, textToDeIdentify string) error {
	// projectId := "my-project-id"
	// textToDeIdentify := "My name is Alicia Abernathy, and my email address is aabernathy@example.com."

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the content to be inspected.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToDeIdentify,
		},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	infoType := &dlppb.InfoType{
		Name: "EMAIL_ADDRESS",
	}

	// Specify the infotypes to be inspected.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
	}

	// Specify list of values which will be randomly picked to replace identified email addresses.
	wordList := &dlppb.ReplaceDictionaryConfig_WordList{
		WordList: &dlppb.CustomInfoType_Dictionary_WordList{
			Words: []string{"izumi@example.com", "alex@example.com"},
		},
	}

	// Specify the Dictionary to use for selecting replacement values for the finding.
	replaceDictionaryConfig := &dlppb.ReplaceDictionaryConfig{
		Type: wordList,
	}

	// Define type of de-identification as replacement with items from dictionary.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceDictionaryConfig{
			ReplaceDictionaryConfig: replaceDictionaryConfig,
		},
	}

	transformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes: []*dlppb.InfoType{
			infoType,
		},
		PrimitiveTransformation: primitiveTransformation,
	}

	// Combine configurations into a request for the service.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					transformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprint(w, "output: ", resp.GetItem().GetValue())
	return nil

}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。



import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceDictionaryConfig;
import java.io.IOException;

public class DeIdentifyDataReplaceWithDictionary {
  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify
    String textToDeIdentify =
        "My name is Charlie and email address is charlie@example.com.";
    deidentifyDataReplaceWithDictionary(projectId, textToDeIdentify);
  }

  // Performs data de-identification by replacing identified email addresses in a given text with
  // randomly selected values from a dictionary.
  public static void deidentifyDataReplaceWithDictionary(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem item = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();
      InspectConfig inspectConfig = InspectConfig.newBuilder().addInfoTypes(infoType).build();

      // Specify list of value which will randomly replace identified email addresses.
      WordList wordList =
          WordList.newBuilder().addWords("izumi@example.com").addWords("alex@example.com").build();

      // Specify the dictionary to use for selecting replacement values for the finding.
      ReplaceDictionaryConfig replaceDictionaryConfig =
          ReplaceDictionaryConfig.newBuilder().setWordList(wordList).build();

      // Define type of de-identification as replacement with items from dictionary.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceDictionaryConfig(replaceDictionaryConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation transformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Parse the response and process results.
      System.out.print("Text after de-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

// The words to replace sensitive information with
// const words = ['izumi@example.com', 'alex@example.com', 'tal@example.com'];

async function deidentifyWithDictionaryReplacement() {
  // Construct word list to be used for replacement
  const wordList = {
    words: words,
  };
  // Construct item to de-identify
  const item = {value: string};

  // Specify replacement dictionary config using word list.
  const replaceDictionaryConfig = {
    wordList: wordList,
  };

  // Associate replacement dictionary config with infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: infoTypes,
        primitiveTransformation: {
          replaceDictionaryConfig: replaceDictionaryConfig,
        },
      },
    ],
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    item: item,
  };

  // Run de-identification request.
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results.
  console.log(deidentifiedItem.value);
}

deidentifyWithDictionaryReplacement();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceDictionaryConfig;

/**
 * Dictionary replacement
 * Dictionary replacement (ReplaceDictionaryConfig) replaces each piece of detected sensitive data with a
 * value that Cloud DLP randomly selects from a list of words that you provide. This transformation method
 * is useful if you want to use realistic surrogate values.Suppose you want Cloud DLP to detect email addresses
 * and replace each detected value with one of three surrogate email addresses.
 *
 * @param string $callingProjectId  The project ID to run the API call under.
 * @param string $textToDeIdentify  The String you want the service to DeIdentify.
 */
function deidentify_dictionary_replacement(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToDeIdentify = 'My name is Charlie and email address is charlie@example.com.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify what content you want the service to de-identify.
    $contentItem = (new ContentItem())
        ->setValue($textToDeIdentify);

    // Specify the type of info the inspection will look for.
    // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddress]);

    // Define type of de-identification as replacement with items from dictionary.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceDictionaryConfig(
            // Specify the dictionary to use for selecting replacement values for the finding.
            (new ReplaceDictionaryConfig())
                ->setWordList(
                    // Specify list of value which will randomly replace identified email addresses.
                    (new WordList())
                        ->setWords(['izumi@example.com', 'alex@example.com', 'tal@example.com'])
                )
        );

    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$emailAddress])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the de-identification request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations(
            (new InfoTypeTransformations())
                ->setTransformations([$transformation])
        );

    // Send the request and receive response from the service.
    $parent = "projects/$callingProjectId/locations/global";
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf('Text after replace with infotype config: %s', $response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from typing import List

import google.cloud.dlp


def deindentify_with_dictionary_replacement(
    project: str,
    input_str: str,
    info_types: List[str],
    word_list: List[str],
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
    string by replacing each piece of detected sensitive data with a value
    that Cloud DLP randomly selects from a list of words that you provide.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing infoTypes to look for.
        word_list: List of words or phrases to search for in the data.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct list of info types
    info_types = [{"name": info_type} for info_type in info_types]

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "info_types": info_types,
                    "primitive_transformation": {
                        "replace_dictionary_config": {"word_list": {"words": word_list}}
                    },
                }
            ]
        }
    }

    # Construct the `item`
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": {"info_types": info_types},
            "item": item,
        }
    )

    # Print out the results.
    print(f"De-identified Content: {response.item.value}")

InfoType 替換

您也可以指定 infoType 替換 (DLP API 中的 ReplaceWithInfoTypeConfig)。這種轉換與基本替換轉換的作用相同，但會將每個偵測到的機密資料值替換為該值的 infoType。

舉例來說，假設您指示 Sensitive Data Protection 偵測電子郵件地址和姓氏，並將偵測到的每個值替換為該值的 infoType。您將下列字串傳送至 Sensitive Data Protection：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

傳回的字串將顯示以下內容：

My name is Alicia LAST_NAME, and my email address is EMAIL_ADDRESS.

遮罩

您可以設定 Sensitive Data Protection，將偵測到的機密值 (DLP API 中的 CharacterMaskConfig) 完全或部分遮蓋，方法是以固定的單一遮蓋字元 (例如星號 (*) 或井字號 (#)) 替換每個字元。遮蓋可以從字串的開頭或結尾開始。這種轉換也適用於長整數等數字類型。

Sensitive Data Protection 的遮蓋轉換功能提供下列選項：

遮罩字元 (DLP API 中的 maskingCharacter 引數)：用於遮蓋機密值中每個字元的字元。舉例來說，您可以指定星號 (*) 或貨幣符號 ($) 來遮蔽一系列數字，例如信用卡號碼的數字。
要遮蓋的字元數 (numberToMask)：如未指定這個值，系統會遮蓋所有字元。
是否反轉順序 (reverseOrder)：是否以反向順序遮蓋字元。如果選擇反轉順序，系統會依相符值結尾至開頭的方向遮蔽值中的字元。
要忽略的字元 (charactersToIgnore)：遮蓋值時要略過的一或多個字元。舉例來說，您可以指示 Sensitive Data Protection 在遮蓋電話號碼時保留連字號。您也可以指定一組常見字元 (CharsToIgnore)，在遮蓋時忽略這些字元。

假設您將下列字串傳送至 Sensitive Data Protection，並指示其對電子郵件地址使用字元遮蓋轉換：

My name is Alicia Abernathy, and my email address is aabernathy@example.com.

將遮蓋字元設為「#」，要忽略的字元設為通用字元集，其他設定則保留預設值，Sensitive Data Protection 會傳回下列內容：

My name is Alicia Abernathy, and my email address is ##########@#######.###.

以下 JSON 和程式碼範例示範遮蔽轉換的運作方式。

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.CharacterMaskConfig;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithMasking {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "My SSN is 372819127";
    deIdentifyWithMasking(projectId, textToDeIdentify);
  }

  public static void deIdentifyWithMasking(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {

      // Specify what content you want the service to DeIdentify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify how the info from the inspection should be masked.
      CharacterMaskConfig characterMaskConfig =
          CharacterMaskConfig.newBuilder()
              .setMaskingCharacter("X") // Character to replace the found info with
              .setNumberToMask(5) // How many characters should be masked
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCharacterMaskConfig(characterMaskConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println("Text after masking: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project-id';

// The string to deidentify
// const string = 'My SSN is 372819127';

// (Optional) The maximum number of sensitive characters to mask in a match
// If omitted from the request or set to 0, the API will mask any matching characters
// const numberToMask = 5;

// (Optional) The character to mask matching sensitive data with
// const maskingCharacter = 'x';

// Construct deidentification request
const item = {value: string};

async function deidentifyWithMask() {
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              characterMaskConfig: {
                maskingCharacter: maskingCharacter,
                numberToMask: numberToMask,
              },
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}

deidentifyWithMask();

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from typing import List

import google.cloud.dlp


def deidentify_with_mask(
    project: str,
    input_str: str,
    info_types: List[str],
    masking_character: str = None,
    number_to_mask: int = 0,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string by masking it with a character.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
            A full list of info type categories can be fetched from the API.
        masking_character: The character to mask matching sensitive data with.
        number_to_mask: The maximum number of sensitive characters to mask in
            a match. If omitted or set to zero, the API will default to no
            maximum.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "character_mask_config": {
                            "masking_character": masking_character,
                            "number_to_mask": number_to_mask,
                        }
                    }
                }
            ]
        }
    }

    # Construct item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// mask deidentifies the input by masking all provided info types with maskingCharacter
// and prints the result to w.
func mask(w io.Writer, projectID, input string, infoTypeNames []string, maskingCharacter string, numberToMask int32) error {
	// projectID := "my-project-id"
	// input := "My SSN is 111222333"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// maskingCharacter := "+"
	// numberToMask := 6
	// Will print "My SSN is ++++++333"

	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CharacterMaskConfig{
									CharacterMaskConfig: &dlppb.CharacterMaskConfig{
										MaskingCharacter: maskingCharacter,
										NumberToMask:     numberToMask,
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\CharacterMaskConfig;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * Deidentify sensitive data in a string by masking it with a character.
 *
 * @param string $callingProjectId The GCP Project ID to run the API call under
 * @param string $string           The string to deidentify
 * @param int    $numberToMask     (Optional) The maximum number of sensitive characters to mask in a match
 * @param string $maskingCharacter (Optional) The character to mask matching sensitive data with (defaults to "x")
 */
function deidentify_mask(
    string $callingProjectId,
    string $string,
    int $numberToMask = 0,
    string $maskingCharacter = 'x'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the masking configuration object
    $maskConfig = (new CharacterMaskConfig())
        ->setMaskingCharacter($maskingCharacter)
        ->setNumberToMask($numberToMask);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCharacterMaskConfig($maskConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $item = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($item);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithMasking
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct a request.
        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            PrimitiveTransformation = new PrimitiveTransformation
            {
                CharacterMaskConfig = new CharacterMaskConfig
                {
                    MaskingCharacter = "*",
                    NumberToMask = 5,
                    ReverseOrder = false,
                }
            }
        };
        var request = new DeidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            InspectConfig = new InspectConfig
            {
                InfoTypes =
                {
                    new InfoType { Name = "US_SOCIAL_SECURITY_NUMBER" }
                }
            },
            DeidentifyConfig = new DeidentifyConfig
            {
                InfoTypeTransformations = new InfoTypeTransformations
                {
                    Transformations = { transformation }
                }
            },
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

REST

如要進一步瞭解如何搭配使用 DLP API 和 JSON，請參閱 JSON 快速入門導覽課程。

HTTP 方法和網址

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:deidentify

將 PROJECT_ID 替換為專案 ID。

JSON 輸入

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is aabernathy@example.com."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ],
          "primitiveTransformation":{
            "characterMaskConfig":{
              "maskingCharacter":"#",
              "reverseOrder":false,
              "charactersToIgnore":[
                {
                  "charactersToSkip":".@"
                }
              ]
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
  }
}

JSON 輸出內容

{
  "item":{
    "value":"My name is Alicia Abernathy, and my email address is ##########@#######.###."
  },
  "overview":{
    "transformedBytes":"22",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "characterMaskConfig":{
            "maskingCharacter":"#",
            "charactersToIgnore":[
              {
                "charactersToSkip":".@"
              }
            ]
          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"22"
      }
    ]
  }
}

加密式權杖化轉換

加密型權杖化 (也稱為「匿名化」) 轉換是一種去識別化方法，會將原始機密資料值替換為已加密值。Sensitive Data Protection 支援下列類型的代碼化，包括可反轉及重新識別的轉換：

密碼雜湊：如果提供 CryptoKey，Sensitive Data Protection 會對輸入值使用以 SHA-256 為基礎的訊息驗證碼 (HMAC-SHA-256)，然後將輸入值替換為以 Base64 編碼的雜湊值。與其他類型的加密轉換不同，這類轉換無法復原。
格式保留加密：使用 FFX 作業模式，以格式保留加密 (FPE) 產生的權杖取代輸入值。這種轉換方法只能使用與輸入值相同的字母表產生代碼，且產生的代碼長度與輸入值相同。FPE 也支援重新識別化，前提是要有原始加密金鑰。
確定性加密：將輸入值替換為使用合成初始化向量模式 (AES-SIV) 的 AES 產生的權杖。這種轉換方法對於支援的字串字元集沒有限制、會為每個相同的輸入值產生相同的代碼，並且會使用代理值，在有原始加密金鑰的情況下進行重新識別化。

密碼雜湊

密碼雜湊轉換作業 (DLP API 中的 CryptoHashConfig) 會擷取輸入值 (Sensitive Data Protection 偵測到的機密資料)，並以雜湊值取代。雜湊值的產生方式，是使用以 SHA-256 為基礎的訊息驗證碼 (HMAC-SHA-256)，對輸入值和 CryptoKey 進行雜湊處理。

Sensitive Data Protection 會輸出經雜湊處理的輸入值，並以 Base64 編碼表示，取代原始值。

使用密碼雜湊轉換前，請注意下列事項：

輸入值未經過加密，而是經過雜湊處理。
這項轉換無法復原，也就是說，即使有經過雜湊處理的轉換輸出值和原始加密編譯金鑰，也無法還原原始值。
目前，您只能對字串與整數值進行雜湊處理。
經過雜湊處理的轉換輸出長度一律相同，實際長度則視加密編譯金鑰大小而定。舉例來說，如果您對 10 位數的電話號碼使用密碼雜湊轉換，每個電話號碼都會替換為固定長度的 Base64 編碼雜湊值。

格式保留加密

格式保留加密 (FPE) 轉換方法 (DLP API 中的 CryptoReplaceFfxFpeConfig) 會擷取輸入值 (Sensitive Data Protection 偵測到的機密資料)，使用 FFX 模式和CryptoKey中的格式保留加密進行加密，然後將原始值替換為加密值或權杖。

輸入值具有以下特性：

至少必須要有兩個字元的長度 (或空字串)。
必須採 ASCII 編碼。
由「字母」指定的字元組成，也就是輸入值中允許的 2 到 95 個字元。詳情請參閱 CryptoReplaceFfxFpeConfig 中的 alphabet 欄位。

產生的代碼具有以下特性：

是經過加密的輸入值。
加密後會保留輸入值的字元集 (「字母表」) 和長度。
使用 FFX 模式的格式保留加密，並以指定的加密編譯金鑰為金鑰，計算出雜湊值。
可能會重複，這是因為每個相同輸入值都會去識別化為相同代碼。這可確保參照完整性，進而提高去識別化資料的搜尋效率。如要變更這項行為，請使用「情境」一節所述的情境「調整」功能。

如果來源內容中某個輸入值出現多次，每個值都會去識別化為相同代碼。FPE 會保留長度和字母空間 (字元集)，上限為 95 個字元。您可以使用情境「調整項」變更這項行為，進而提升安全性。在轉換中加入情境調整，可讓 Sensitive Data Protection 將相同輸入值的多個執行個體去識別化為不同權杖。如果不需要保留原始值的長度和字母空間，請使用確定性加密，如下所述。

Sensitive Data Protection 會使用加密編譯金鑰計算替換權杖。您可透過以下三種方式的其中之一提供這個金鑰：

將未加密的金鑰嵌入 API 要求。我們不建議這麼做。
要求 Sensitive Data Protection 生成。
將加密金鑰嵌入 API 要求中。

如果選擇在 API 要求中嵌入金鑰，則必須建立金鑰，並使用 Cloud Key Management Service (Cloud KMS) 金鑰包裝 (加密) 該金鑰。詳情請參閱「建立包裝金鑰」。根據預設，傳回的值是以 Base64 編碼的字串。如要在 Sensitive Data Protection 中設定這個值，必須將其解碼為位元組字串。下列程式碼片段說明如何以多種語言執行這項操作。這些程式碼片段後方會提供端對端範例。

Java

KmsWrappedCryptoKey.newBuilder()
    .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedKey)))

Python

# The wrapped key is base64-encoded, but the library expects a binary
# string, so decode it here.
import base64
wrapped_key = base64.b64decode(wrapped_key)

PHP

// Create the wrapped crypto key configuration object
$kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
    ->setWrappedKey(base64_decode($wrappedKey))
    ->setCryptoKeyName($keyName);

C#

WrappedKey = ByteString.FromBase64(wrappedKey)

如要進一步瞭解如何使用 Cloud KMS 加密及解密資料，請參閱加密及解密資料一文。

格式保留加密範例：去識別化

這個範例使用 CryptoReplaceFfxFpeConfig 轉換方法，將機密資料去識別化。詳情請參閱本頁的「格式保留加密」一節。

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;

public class DeIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "I'm Gary and my SSN is 552096781";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    deIdentifyWithFpe(projectId, textToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyWithFpe(
      String projectId, String textToDeIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to DeIdentify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder().setName("US_SOCIAL_SECURITY_NUMBER").build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addAllInfoTypes(Arrays.asList(infoType)).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after format-preserving encryption: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My SSN is 372819127';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// (Optional) The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function deidentifyWithFpe() {
  // Construct FPE config
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    commonAlphabet: alphabet,
  };
  if (surrogateType) {
    cryptoReplaceFfxFpeConfig.surrogateInfoType = {
      name: surrogateType,
    };
  }

  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  console.log(deidentifiedItem.value);
}
deidentifyWithFpe();

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_fpe(
    project: str,
    input_str: str,
    info_types: List[str],
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_ffx_fpe_config["surrogate_info_type"] = {"name": surrogate_type}

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
                    }
                }
            ]
        }
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyFPE deidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// optional identifier needed for reidentification. surrogateInfoType can be any
// value not found in your input.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func deidentifyFPE(w io.Writer, projectID, input string, infoTypeNames []string, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	// kmsKeyName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Convert the info type strings to a list of InfoTypes.
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: infoTypes,
		},
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: &dlppb.CryptoKey{
											Source: &dlppb.CryptoKey_KmsWrapped{
												KmsWrapped: &dlppb.KmsWrappedCryptoKey{
													WrappedKey:    kmsWrappedCryptoKey,
													CryptoKeyName: kmsKeyName,
												},
											},
										},
										// Set the alphabet used for the output.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type, used for reidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * Deidentify a string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to deidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) surrogate custom info type to enable reidentification
 */
function deidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet);

    if ($surrogateTypeName) {
        $surrogateType = (new InfoType())
            ->setName($surrogateTypeName);
        $cryptoReplaceFfxFpeConfig->setSurrogateInfoType($surrogateType);
    }

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $content = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    $deidentifiedValue = $response->getItem()->getValue();
    print($deidentifiedValue);
}

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyWithFpe
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string dataValue,
        IEnumerable<InfoType> infoTypes,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet)
    {
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
                            {
                                CommonAlphabet = alphabet,
                                CryptoKey = new CryptoKey
                                {
                                    KmsWrapped = new KmsWrappedCryptoKey
                                    {
                                        CryptoKeyName = keyName,
                                        WrappedKey = ByteString.FromBase64 (wrappedKey)
                                    }
                                },
                                SurrogateInfoType = new InfoType
                                {
                                    Name = "TOKEN"
                                }
                            }
                        }
                    }
                }
            }
        };

        var dlp = DlpServiceClient.Create();
        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                InspectConfig = new InspectConfig
                {
                    InfoTypes = { infoTypes }
                },
                DeidentifyConfig = deidentifyConfig,
                Item = new ContentItem { Value = dataValue }
            });

        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

格式保留加密範例：使用代理類型去識別化

這個範例使用 CryptoReplaceFfxFpeConfig 轉換方法，將機密資料去識別化。詳情請參閱本頁的「格式保留加密」一節。

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyFreeTextWithFPEUsingSurrogate de-identifies free text with FPE by using a surrogate
func deidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, infoType, surrogateType, unwrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is 9824376677"
	// infoType := "PHONE_NUMBER"
	// surrogateType := "PHONE_TOKEN"
	// unwrappedKey := "The base64-encoded AES-256 key to use"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// decoding the unwrapped key
	keyDecode, err := base64.StdEncoding.DecodeString(unwrappedKey)
	if err != nil {
		return err
	}

	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: []*dlppb.InfoType{
			{Name: infoType},
		},
		MinLikelihood: dlppb.Likelihood_UNLIKELY,
	}

	// specify the content to be de-identified
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specify how the content should be encrypted.
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyDecode,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Apply crypto replace config to primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
		},
	}

	infoTypeTransformation := &dlppb.DeidentifyConfig_InfoTypeTransformations{
		InfoTypeTransformations: &dlppb.InfoTypeTransformations{
			Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
				{
					InfoTypes: []*dlppb.InfoType{
						{Name: infoType},
					},
					PrimitiveTransformation: primitiveTransformation,
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: infoTypeTransformation,
		},
		InspectConfig: inspectConfig,
		Item:          contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output: %v", resp.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import java.util.Collections;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class DeidentifyFreeTextWithFpeUsingSurrogate {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My phone number is 4359916732";
    // The base64-encoded key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    deIdentifyWithFpeSurrogate(projectId, textToDeIdentify, base64EncodedKey);
  }

  /**
   * Uses the Data Loss Prevention API to deidentify sensitive data in a string using Format
   * Preserving Encryption (FPE).The encryption is performed with an unwrapped key.
   *
   * @param projectId The Google Cloud project id to use as a parent resource.
   * @param textToDeIdentify The string to deidentify.
   * @param unwrappedKey The base64-encoded AES-256 key to use.
   */
  public static String deIdentifyWithFpeSurrogate(
      String projectId, String textToDeIdentify, String unwrappedKey) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Set the text to be de-identified.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Specify the InfoType the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder()
              .setName("PHONE_NUMBER").build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType)).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      // Specify how the info from the inspection should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder()
                  .addTransformations(infoTypeTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
                  .setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println("Text after de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My phone number is 4359916732';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function deidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    infoTypes: infoTypes,
    minLikelihood: DLP.protos.google.privacy.dlp.v2.Likelihood.UNLIKELY,
  };

  // Set the text to be de-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;
  // Print results
  console.log(deidentifiedItem.value);
}
deidentifyWithFpeSurrogate();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


/**
 * Deidentify free text with fpe using surrogate.
 * Uses the Data Loss Prevention API to de-identify sensitive data in a string using format-preserving
 * encryption (FPE). The encryption is performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to deidentify (will be treated as text).
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Can be essentially any arbitrary string, as long as it doesn't appear in your dataset otherwise.
 */
function deidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'My PHONE NUMBER IS 731997681',
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Create the surrogate type configuration object.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // The infoTypes of information to mask.
    $infoType = (new InfoType())
        ->setName('PHONE_NUMBER');
    $infoTypes = [$infoType];

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes($infoTypes);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Create the configuration object.
    $inspectConfig = (new InspectConfig())
        /* Construct the inspect config, trying to finding all PII with likelihood
        higher than UNLIKELY */
        ->setMinLikelihood(likelihood::UNLIKELY)
        ->setInfoTypes($infoTypes);

    // Run request.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

import google.cloud.dlp


def deidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    info_type: str = "PHONE_NUMBER",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to deidentify sensitive data in a
       string using Format Preserving Encryption (FPE).
       The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        info_type: The name of the info type to de-identify
        surrogate_type: The name of the surrogate custom info type to use. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct de-identify config
    transformation = {
        "info_types": [{"name": info_type}],
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        },
    }

    deidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    # Construct the inspect config, trying to finding all PII with likelihood
    # higher than UNLIKELY
    inspect_config = {
        "info_types": [{"name": info_type}],
        "min_likelihood": google.cloud.dlp_v2.Likelihood.UNLIKELY,
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyFreeTextWithFpeUsingSurrogate
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string unwrappedKey,
        IEnumerable<InfoType> infoTypes = null,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info to be inspected and construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[]
                {
                    new InfoType { Name = "PHONE_NUMBER" }
                }
            },
            MinLikelihood = Likelihood.Unlikely
        };

        // Construct the crypto replace ffxfpe config by providing the unwrapped crypto key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CommonAlphabet = alphabet,
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };

        // Construct the deidentify config using crypto config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

格式保留加密範例：將資料表中的機密資料去識別化

這個範例使用 CryptoReplaceFfxFpeConfig 轉換方法，將資料表中的機密資料去識別化。詳情請參閱本頁的「格式保留加密」一節。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class DeidentifyTableWithFpe
{
    public static Table DeidentifyTable(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "11111" },
                new Value { StringValue = "2015" },
                new Value { StringValue = "$10" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "33333" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$20" }
            };
            var row3 = new Value[]
            {
                new Value { StringValue = "22222" },
                new Value { StringValue = "2016" },
                new Value { StringValue = "$15" }
            };

            tableToInspect = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Date" },
                    new FieldId { Name = "Compensation" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Provide the table and construct the content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Specify an encrypted AES-256 key and the name of the Cloud KMS Key that
        // encrypted it and specify how it should be encrypted.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify fields to be encrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the deidentify config using crypto replace config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem,
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Inspect the response.
        Console.WriteLine(response.Item.Table);

        return response.Item.Table;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyTableFPE de-identifies table data with format preserving encryption.
func deidentifyTableFPE(w io.Writer, projectID string, kmsKeyName, wrappedAESKey string) error {
	// projectId := "your-project-id"
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAESKey := "YOUR_ENCRYPTED_AES_256_KEY"

	// define your table.
	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "11111"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2015"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$10"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "22222"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$20"}},
		},
	}

	row3 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "33333"}},
			{Type: &dlppb.Value_StringValue{StringValue: "2016"}},
			{Type: &dlppb.Value_StringValue{StringValue: "$15"}},
		},
	}

	table := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
			{Name: "Date"},
			{Name: "Compensation"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
			{Values: row3.Values},
		},
	}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: table,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsKeyDecode, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return fmt.Errorf("error in decoding key: %w", err)
	}

	kmsWrappedCryptoKey := &dlppb.KmsWrappedCryptoKey{
		WrappedKey:    kmsKeyDecode,
		CryptoKeyName: kmsKeyName,
	}

	cryptoKey := &dlppb.CryptoKey_KmsWrapped{
		KmsWrapped: kmsWrappedCryptoKey,
	}

	// Specify how the content should be encrypted.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: cryptoKey,
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be encrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the encryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Fields: []*dlppb.FieldId{
			fieldId,
		},
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
	}

	transformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
				RecordTransformations: transformations,
			},
		},
		Item: contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "De-identify Table after format-preserving encryption : %+v", resp.GetItem().GetTable())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class DeIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addHeaders(FieldId.newBuilder().setName("Date").build())
            .addHeaders(FieldId.newBuilder().setName("Compensation").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("11111").build())
                    .addValues(Value.newBuilder().setStringValue("2015").build())
                    .addValues(Value.newBuilder().setStringValue("$10").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("22222").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$20").build())
                    .build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("33333").build())
                    .addValues(Value.newBuilder().setStringValue("2016").build())
                    .addValues(Value.newBuilder().setStringValue("$15").build())
                    .build())
            .build();
    deIdentifyTableWithFpe(projectId, tableToDeIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void deIdentifyTableWithFpe(
      String projectId, Table tableToDeIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how the content should be encrypted.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be encrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the encryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println(
          "Table after format-preserving encryption: " + response.getItem().getTable());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Table to de-identify
const tablularData = {
  headers: [{name: 'Employee ID'}, {name: 'Date'}, {name: 'Compensation'}],
  rows: [
    {
      values: [
        {stringValue: '11111'},
        {stringValue: '2015'},
        {stringValue: '$10'},
      ],
    },
    {
      values: [
        {stringValue: '22222'},
        {stringValue: '2016'},
        {stringValue: '$20'},
      ],
    },
    {
      values: [
        {stringValue: '33333'},
        {stringValue: '2016'},
        {stringValue: '$15'},
      ],
    },
  ],
};

async function deidentifyTableWithFpe() {
  // Specify field to be encrypted.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Specify how the content should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: cryptoKeyConfig,
    commonAlphabet: alphabet,
  };

  // Associate the encryption with the specified field.
  const fieldTransformations = [
    {
      fields: fieldIds,
      primitiveTransformation: {
        cryptoReplaceFfxFpeConfig,
      },
    },
  ];

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations,
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Send the request and receive response from the service.
  const [response] = await dlp.deidentifyContent(request);

  // Print the results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}
await deidentifyTableWithFpe();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify table data with format-preserving encryption.
 * Demonstrates encrypting sensitive data in a table while maintaining format.
 *

 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.

 * */

function deidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be de-identify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the content should be encrypted.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be encrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the encryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

    // Run request.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after format-preserving encryption (File Location): %s', $outputCsvFile);
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from typing import List

import google.cloud.dlp


def deidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    deid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      table while maintaining format.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        deid_field_names: A list of fields in table to de-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})

    table = {"headers": headers, "rows": rows}

    # Construct the `item` for table.
    item = {"table": table}

    # Specify fields to be de-identified.
    deid_field_names = [{"name": _i} for _i in deid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name},
        },
        "common_alphabet": alphabet,
    }

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config
                    },
                    "fields": deid_field_names,
                }
            ]
        }
    }

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.deidentify_content(
        request={"parent": parent, "deidentify_config": deidentify_config, "item": item}
    )

    # Print out results.
    print(f"Table after de-identification: {response.item.table}")

格式保留加密範例：重新識別

以下是多種語言的程式碼範例，示範如何使用 Sensitive Data Protection，重新識別透過 CryptoReplaceFfxFpeConfig 轉換方法去識別化的機密資料。詳情請參閱本頁的「格式保留加密」一節。

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyFPE reidentifies the input with FPE (Format Preserving Encryption).
// keyFileName is the file name with the KMS wrapped key and cryptoKeyName is the
// full KMS key resource name used to wrap the key. surrogateInfoType is an
// the identifier used during deidentification.
// Info types can be found with the infoTypes.list method or on https://cloud.google.com/dlp/docs/infotypes-reference
func reidentifyFPE(w io.Writer, projectID, input, kmsKeyName, wrappedAesKey, surrogateInfoType string) error {
	// projectID := "my-project-id"
	// input := "My SSN is 123456789"
	// keyFileName := "projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME"
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		fmt.Fprintf(w, "error %v", err)
		return err
	}

	// Specify the crypto key configuration that will used for encryption.
	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Create a configured request.
	req := &dlppb.ReidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{},
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
									CryptoReplaceFfxFpeConfig: &dlppb.CryptoReplaceFfxFpeConfig{
										CryptoKey: cryptoKey,
										// Set the alphabet used for the encrypted fields.
										Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
											CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
										},
										// Set the surrogate info type used during deidentification.
										SurrogateInfoType: &dlppb.InfoType{
											Name: surrogateInfoType,
										},
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig must identify the surrogate info type to reidentify.
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				{
					InfoType: &dlppb.InfoType{
						Name: surrogateInfoType,
					},
					Type: &dlppb.CustomInfoType_SurrogateType_{
						SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
					},
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("ReidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My SSN is SSN_TOKEN(9):731997681";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("SSN_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to reidentify
// const string = 'My SSN is PHONE_TOKEN(9):#########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyWithFpe() {
  // Construct deidentification request
  const item = {value: string};
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: {
                cryptoKey: {
                  kmsWrapped: {
                    wrappedKey: wrappedKey,
                    cryptoKeyName: keyName,
                  },
                },
                commonAlphabet: alphabet,
                surrogateInfoType: {
                  name: surrogateType,
                },
              },
            },
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run reidentification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  console.log(reidentifiedItem.value);
}
reidentifyWithFpe();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $string            The string to reidentify
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName
 * @param string $surrogateTypeName (Optional) Surrogate custom info type to enable reidentification
 */
function reidentify_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // The infoTypes of information to mask
    $ssnInfoType = (new InfoType())
        ->setName('US_SOCIAL_SECURITY_NUMBER');
    $infoTypes = [$ssnInfoType];

    // The set of characters to replace sensitive ones with
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Create the wrapped crypto key configuration object
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the surrogate type object
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the crypto FFX FPE configuration object
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the inspect configuration object
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Create the reidentification configuration object
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    $item = (new ContentItem())
        ->setValue($string);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results
    $reidentifiedValue = $response->getItem()->getValue();
    print($reidentifiedValue);
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

import google.cloud.dlp


def reidentify_with_fpe(
    project: str,
    input_str: str,
    alphabet: str = None,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deidentify Config
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "common_alphabet": alphabet,
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyContentUsingFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info the inspection will re-identify. This must use the same custom
        // info type that was used as a surrogate during the initial encryption.
        var infotype = surrogateType ?? new InfoType { Name = "SSN_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct reidentify config using above created crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        var response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");

        return response;
    }
}

格式保留加密範例：重新識別文字

以下是多種語言的程式碼範例，示範如何使用 Sensitive Data Protection，重新識別透過 CryptoReplaceFfxFpeConfig 轉換方法去識別化的機密文字。詳情請參閱本頁的「格式保留加密」一節。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyFreeTextFpe
{
    public static ReidentifyContentResponse ReidentifyContent(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as both surrogate type and infoType.
        var infotype = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Specify how to un-encrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infotype
        };

        // Construct re-identify config using the CryptoReplaceFfxFpeConfig transformation method.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        InfoTypes = { infotype }
                    }
                }
            }
        };

        // Construct the inspect config using custom infoTypes.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infotype,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            ReidentifyConfig = reidentifyConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");

        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// ReidTextDataWithFPE re-identifies text data with FPE
func reidTextDataWithFPE(w io.Writer, projectID, textToReidentify, kmsKeyName, wrappedAESKey, surrogateInfoType string) error {
	// projectId := "my-project-id"
	// textToReidentify := "My SSN is AGE(9):FHKByqA13"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "AGE"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToReidentify,
		},
	}

	// Specify the type of info the inspection will re-identify. This must use the same custom
	// into type that was used as a surrogate during the initial encryption.
	infotype := &dlppb.InfoType{
		Name: surrogateInfoType,
	}

	customInfotype := &dlppb.CustomInfoType{
		InfoType: infotype,
		Type: &dlppb.CustomInfoType_SurrogateType_{
			SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
		},
	}

	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfotype,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAESKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_ALPHA_NUMERIC,
		},
		SurrogateInfoType: infotype,
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
		CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
	}

	InfoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: primitiveTransformation,
				},
				InfoTypes: []*dlppb.InfoType{
					infotype,
				},
			},
		},
	}

	// Combine configurations into a request for the service.
	reidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: InfoTypeTransformations,
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reidentifyConfig,
		Item:             contentItem,
		InspectConfig:    inspectConfig,
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.SurrogateType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTextWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToReIdentify = "My phone number is PHONE_TOKEN(10):9617256398";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    reIdentifyTextWithFpe(projectId, textToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTextWithFpe(
      String projectId, String textToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      // Specify the type of info the inspection will re-identify. This must use the same custom
      // into type that was used as a surrogate during the initial encryption.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_NUMBER").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(SurrogateType.getDefaultInstance())
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();
      InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addInfoTypes(surrogateInfoType)
              .build();
      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to reidentify
// const string = 'My phone number is PHONE_TOKEN(10):9617256398';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

async function reidentifyTextWithFpe() {
  // Construct deidentification request
  const item = {value: string};

  // Construt Crypto Key Configuration
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Construct primitive transformation configuration
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
      surrogateInfoType: {
        name: surrogateType,
      },
    },
  };

  // Combine configurations and construct re-identify request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    inspectConfig: {
      customInfoTypes: [
        {
          infoType: {
            name: surrogateType,
          },
          surrogateType: {},
        },
      ],
    },
    item: item,
  };

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;

  // Print results
  console.log(reidentifiedItem.value);
}
await reidentifyTextWithFpe();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Reidentify a deidentified string using Format-Preserving Encryption (FPE).
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_text_fpe(
    string $callingProjectId,
    string $string,
    string $keyName,
    string $wrappedKey,
    string $surrogateTypeName
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to re-identify.
    $item = (new ContentItem())
        ->setValue($string);

    // Specify the type of info the inspection will re-identify. This must use the same custom
    // into type that was used as a surrogate during the initial encryption.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the inspect configuration object.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Set of characters in the input text. For more info, see
    // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

import google.cloud.dlp


def reidentify_text_with_fpe(
    project: str,
    input_str: str,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """
    Uses the Data Loss Prevention API to re-identify sensitive data in a
    string using Format Preserving Encryption (FPE).
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to re-identify (will be treated as text).
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Specify the type of info the inspection will re-identify.
    # This must use the same custom infoType that was used as a
    # surrogate during the initial encryption.
    surrogate_info_type = {"name": "PHONE_NUMBER"}

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": "NUMERIC",
        "surrogate_info_type": surrogate_info_type,
    }

    # Construct re-identify configuration dictionary
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "info_types": [surrogate_info_type],
                }
            ]
        }
    }

    # Construct inspect configuration dictionary
    inspect_config = {
        "custom_info_types": [{"info_type": surrogate_info_type, "surrogate_type": {}}]
    }

    # Construct the `item`.
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(f"Text after re-identification: {response.item.value}")

格式保留加密範例：使用代理類型重新識別

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyFreeTextWithFpeUsingSurrogate
{
    public static ReidentifyContentResponse ReidentifyFreeText(
        string projectId,
        string text,
        string unwrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        InfoType surrogateType = null)
    {
        // Instantiate dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto replace config using crypto key name and wrapped key.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                Unwrapped = new UnwrappedCryptoKey
                {
                    Key = ByteString.FromBase64(unwrappedKey)
                }
            },
            CommonAlphabet = alphabet,
            SurrogateInfoType = infoType
        };

        // Construct the re-identify config using crypto replace config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config with the help of custom info type.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Re-identified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyFreeTextWithFPEUsingSurrogate re-identifies free text with FPE using surrogate
func reidentifyFreeTextWithFPEUsingSurrogate(w io.Writer, projectID, inputStr, surrogateType, unWrappedKey string) error {
	// projectId := "your-project-id"
	// inputStr := "My phone number is PHONE_TOKEN(10):4068372189"
	// surrogateType := "PHONE_TOKEN"
	// unWrappedKey := "hXribiHR6kvVKmj5ptTZLRTj8+u0eBQzwcrEPwyGhe8="

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(unWrappedKey)
	if err != nil {
		return err
	}

	// using the unwrapped key and surrogate info type construct cryptoReplaceConfig
	cryptoReplaceConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_Unwrapped{
				Unwrapped: &dlppb.UnwrappedCryptoKey{
					Key: keyBytes,
				},
			},
		},
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// construct infoType transformations
	infoTypeTransformations := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: &dlppb.PrimitiveTransformation{
					Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
						CryptoReplaceFfxFpeConfig: cryptoReplaceConfig,
					},
				},
			},
		},
	}

	// construct re-identify config
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: infoTypeTransformations,
		},
	}

	// construct inspect config to pass in req
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: inputStr,
			},
		},
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.UnwrappedCryptoKey;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Base64;
import javax.crypto.KeyGenerator;
import javax.crypto.SecretKey;

public class ReidentifyFreeTextWithFpeUsingSurrogate {
  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My phone number is 4359916731";
    // The base64-encoded AES-256 key to use.
    String base64EncodedKey = "your-base64-encoded-key";

    // Obtain the de-identified text.
    String textToReIdentify =
        DeidentifyFreeTextWithFpeUsingSurrogate.deIdentifyWithFpeSurrogate(
            projectId, textToDeIdentify, base64EncodedKey);

    reIdentifyWithFpeSurrogate(projectId, textToReIdentify, base64EncodedKey);
  }

  // Re-identifies sensitive data in a string that was encrypted by Format Preserving Encryption
  // (FPE) with surrogate type.
  public static void reIdentifyWithFpeSurrogate(
      String projectId, String textToReIdentify, String unwrappedKey) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();
      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder().setName("PHONE_TOKEN").build();

      CustomInfoType customInfoType =
          CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Specify an unwrapped crypto key.
      UnwrappedCryptoKey unwrappedCryptoKey =
          UnwrappedCryptoKey.newBuilder()
              .setKey(ByteString.copyFrom(BaseEncoding.base64().decode(unwrappedKey)))
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setUnwrapped(unwrappedCryptoKey).build();

      // Specify how to decrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet.NUMERIC)
              .setSurrogateInfoType(surrogateInfoType)
              .build();

      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations =
          InfoTypeTransformations.newBuilder().addTransformations(infoTypeTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setInfoTypeTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(reidentifyConfig)
              .build();
      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to Re-identify
// const string = 'PHONE_TOKEN(10):########';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'NUMERIC';

// InfoTypes
// const infoTypes = [{name: 'PHONE_NUMBER'}];

// Surrogate Type
// const surrogateType = 'PHONE_TOKEN';

// The base64-encoded AES-256 key to use
// const unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==';

async function reidentifyWithFpeSurrogate() {
  // Specify an unwrapped crypto key.
  unwrappedKey = Buffer.from(unwrappedKey, 'base64');

  // Specify how the info from the inspection should be encrypted.
  const cryptoReplaceFfxFpeConfig = {
    cryptoKey: {
      unwrapped: {
        key: unwrappedKey,
      },
    },
    commonAlphabet: alphabet,
    surrogateInfoType: {name: surrogateType},
  };

  // Construct the inspect configuration.
  const inspectConfig = {
    customInfoTypes: [
      {
        infoType: {
          name: surrogateType,
        },
        surrogateType: {},
      },
    ],
  };

  // Set the text to be re-identified.
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: {
        transformations: [
          {
            primitiveTransformation: {
              cryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
            },
          },
        ],
      },
    },
    item: item,
    inspectConfig: inspectConfig,
  };
  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const reidentifiedItem = response.item;
  // Print results
  console.log(reidentifiedItem.value);
}
reidentifyWithFpeSurrogate();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


/**
 * Re-identify free text with FPE using a surrogate.
 * Uses the Cloud Data Loss Prevention API to re-identify sensitive data in a string that was
 * encrypted by format-preserving encryption (FPE) with a surrogate type. The encryption is
 * performed with an unwrapped key.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $unwrappedKey      The base64-encoded AES-256 key to use.
 * @param string $surrogateTypeName The name of the surrogate custom info type to used during
 * the encryption process.
 */
function reidentify_free_text_with_fpe_using_surrogate(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string,
    string $unwrappedKey = 'YWJjZGVmZ2hpamtsbW5vcA==',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify an unwrapped crypto key.
    $unwrapped = (new UnwrappedCryptoKey())
        ->setKey(base64_decode($unwrappedKey));

    $cryptoKey = (new CryptoKey())
        ->setUnwrapped($unwrapped);

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    // The set of characters to replace sensitive ones with.
    // For more information, see https://cloud.google.com/dlp/docs/reference/rest/V2/organizations.deidentifyTemplates#ffxcommonnativealphabet
    $commonAlphabet = FfxCommonNativeAlphabet::NUMERIC;

    // Specify how to decrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet($commonAlphabet)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Create the inspect configuration object.
    // Specify the type of info the inspection will look for.
    $infotype = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($infotype)
        ->setSurrogateType((new SurrogateType()));

    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Specify the content to be re-identify.
    $content = (new ContentItem())
        ->setValue($string);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

import google.cloud.dlp


def reidentify_free_text_with_fpe_using_surrogate(
    project: str,
    input_str: str,
    alphabet: str = "NUMERIC",
    surrogate_type: str = "PHONE_TOKEN",
    unwrapped_key: str = "YWJjZGVmZ2hpamtsbW5vcA==",
) -> None:
    """Uses the Data Loss Prevention API to reidentify sensitive data in a
    string that was encrypted by Format Preserving Encryption (FPE) with
    surrogate type. The encryption is performed with an unwrapped key.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2beta2/organizations.deidentifyTemplates#ffxcommonnativealphabet
        surrogate_type: The name of the surrogate custom info type to used
            during the encryption process.
        unwrapped_key: The base64-encoded AES-256 key to use.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    unwrapped_key = base64.b64decode(unwrapped_key)

    # Construct Deidentify Config
    transformation = {
        "primitive_transformation": {
            "crypto_replace_ffx_fpe_config": {
                "crypto_key": {"unwrapped": {"key": unwrapped_key}},
                "common_alphabet": alphabet,
                "surrogate_info_type": {"name": surrogate_type},
            }
        }
    }

    reidentify_config = {
        "info_type_transformations": {"transformations": [transformation]}
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

格式保留加密範例：重新識別資料表中的機密資料

以下是多種語言的程式碼範例，示範如何使用 Sensitive Data Protection，在透過 CryptoReplaceFfxFpeConfig 轉換方法去識別化的資料表中，重新識別機密資料。詳情請參閱本頁的「格式保留加密」一節。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using static Google.Cloud.Dlp.V2.CryptoReplaceFfxFpeConfig.Types;

public class ReidentifyTableDataWithFpe
{
    public static Table ReidentifyTableData(
        string projectId,
        string keyName,
        string wrappedKey,
        FfxCommonNativeAlphabet alphabet = FfxCommonNativeAlphabet.Numeric,
        Table tableToInspect = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        var table = tableToInspect;

        if (table == null)
        {
            var row1 = new Value[]
            {
                new Value { StringValue = "28777" },
                new Value { StringValue = "Justin" }
            };
            var row2 = new Value[]
            {
                new Value { StringValue = "28778" },
                new Value { StringValue = "Gary" }
            };

            table = new Table
            {
                Headers =
                {
                    new FieldId { Name = "Employee ID" },
                    new FieldId { Name = "Employee Name" }
                },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } }
                }
            };
        }

        // Construct the content item by providing the table.
        var contentItem = new ContentItem { Table = table };

        // Specify how to decrypt the previously de-identified information.
        var cryptoReplaceFfxFpeConfig = new CryptoReplaceFfxFpeConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            CommonAlphabet = alphabet
        };

        // Specify the field to be decrypted.
        var fields = new FieldId[] { new FieldId { Name = "Employee ID" } };

        // Construct the re-identify config and specify the transformation.
        var reidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoReplaceFfxFpeConfig = cryptoReplaceFfxFpeConfig,
                        },
                        Fields = { fields }
                    }
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            Item = contentItem,
            ReidentifyConfig = reidentifyConfig
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Table after re-identification: {response.Item.Table}");

        return response.Item.Table;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidTableDataWithFPE re-identifies table data with FPE
func reidTableDataWithFPE(w io.Writer, projectID, kmsKeyName, wrappedAesKey string) error {
	// projectId := "my-project-id"
	/* kmsKeyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedAesKey := "YOUR_ENCRYPTED_AES_256_KEY"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the table data that needs to be re-identified.
	tableToReIdentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Employee ID"},
		},
		Rows: []*dlppb.Table_Row{
			{
				Values: []*dlppb.Value{
					{
						Type: &dlppb.Value_StringValue{
							StringValue: "90511",
						},
					},
				},
			},
		},
	}

	// Specify the content you want to re-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToReIdentify,
		},
	}

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	kmsWrappedCryptoKey, err := base64.StdEncoding.DecodeString(wrappedAesKey)
	if err != nil {
		return err
	}

	cryptoKey := &dlppb.CryptoKey{
		Source: &dlppb.CryptoKey_KmsWrapped{
			KmsWrapped: &dlppb.KmsWrappedCryptoKey{
				WrappedKey:    kmsWrappedCryptoKey,
				CryptoKeyName: kmsKeyName,
			},
		},
	}

	// Specify how to un-encrypt the previously de-identified information.
	cryptoReplaceFfxFpeConfig := &dlppb.CryptoReplaceFfxFpeConfig{
		CryptoKey: cryptoKey,
		Alphabet: &dlppb.CryptoReplaceFfxFpeConfig_CommonAlphabet{
			CommonAlphabet: dlppb.CryptoReplaceFfxFpeConfig_NUMERIC,
		},
	}

	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoReplaceFfxFpeConfig{
			CryptoReplaceFfxFpeConfig: cryptoReplaceFfxFpeConfig,
		},
	}

	// Specify field to be decrypted.
	fieldId := &dlppb.FieldId{
		Name: "Employee ID",
	}

	// Associate the decryption with the specified field.
	fieldTransformation := &dlppb.FieldTransformation{
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: primitiveTransformation,
		},
		Fields: []*dlppb.FieldId{
			fieldId,
		},
	}

	recordTransformations := &dlppb.RecordTransformations{
		FieldTransformations: []*dlppb.FieldTransformation{
			fieldTransformation,
		},
	}

	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations,
		},
	}

	// Combine configurations into a request for the service.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

	// Send the request and receive response from the service.
	resp, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "Table after re-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.io.BaseEncoding;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig;
import com.google.privacy.dlp.v2.CryptoReplaceFfxFpeConfig.FfxCommonNativeAlphabet;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Table.Row;
import com.google.privacy.dlp.v2.Value;
import com.google.protobuf.ByteString;
import java.io.IOException;

public class ReIdentifyTableWithFpe {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    String wrappedAesKey = "YOUR_ENCRYPTED_AES_256_KEY";
    Table tableToReIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Employee ID").build())
            .addRows(
                Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("28777").build())
                    .build())
            .build();
    reIdentifyTableWithFpe(projectId, tableToReIdentify, kmsKeyName, wrappedAesKey);
  }

  public static void reIdentifyTableWithFpe(
      String projectId, Table tableToReIdentify, String kmsKeyName, String wrappedAesKey)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setTable(tableToReIdentify).build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey kmsWrappedCryptoKey =
          KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(BaseEncoding.base64().decode(wrappedAesKey)))
              .setCryptoKeyName(kmsKeyName)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder().setKmsWrapped(kmsWrappedCryptoKey).build();

      // Specify how to un-encrypt the previously de-identified information.
      CryptoReplaceFfxFpeConfig cryptoReplaceFfxFpeConfig =
          CryptoReplaceFfxFpeConfig.newBuilder()
              .setCryptoKey(cryptoKey)
              // Set of characters in the input text. For more info, see
              // https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#DeidentifyTemplate.FfxCommonNativeAlphabet
              .setCommonAlphabet(FfxCommonNativeAlphabet.NUMERIC)
              .build();
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setCryptoReplaceFfxFpeConfig(cryptoReplaceFfxFpeConfig)
              .build();

      // Specify field to be decrypted.
      FieldId fieldId = FieldId.newBuilder().setName("Employee ID").build();

      // Associate the decryption with the specified field.
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .addFields(fieldId)
              .build();
      RecordTransformations transformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      DeidentifyConfig reidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(transformations).build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request =
          ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setReidentifyConfig(reidentifyConfig)
              .build();

      // Send the request and receive response from the service
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results
      System.out.println("Table after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The set of characters to replace sensitive ones with
// For more information, see https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#ffxcommonnativealphabet
// const alphabet = 'ALPHA_NUMERIC';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use when reidentifying data
// const surrogateType = 'SOME_INFO_TYPE_DEID';

// Table to re-identify
const tablularData = {
  headers: [{name: 'Employee ID'}],
  rows: [{values: [{stringValue: '90511'}]}],
};

async function reidentifyTableWithFpe() {
  // Specify field to be re-identified.
  const fieldIds = [{name: 'Employee ID'}];

  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoKeyConfig = {
    kmsWrapped: {
      wrappedKey: wrappedKey,
      cryptoKeyName: keyName,
    },
  };

  // Associate transformation with crypto key congurations.
  const primitiveTransformation = {
    cryptoReplaceFfxFpeConfig: {
      cryptoKey: cryptoKeyConfig,
      commonAlphabet: alphabet,
    },
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: fieldIds,
            primitiveTransformation: primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Send the request and receive response from the service.
  const [response] = await dlp.reidentifyContent(request);

  // Print the results.
  console.log(
    `Table after re-identification: ${JSON.stringify(response.item.table)}`
  );
}
await reidentifyTableWithFpe();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig;
use Google\Cloud\Dlp\V2\CryptoReplaceFfxFpeConfig\FfxCommonNativeAlphabet;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;

/**
 * Re-identify table data with FPE.
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path  to reidentify.
 * @param string $outputCsvFile         The oupt file path to save reidentify content.
 * @param string $encryptedFieldNames   The field to be encrypted.
 * @param string $kmsKeyName            The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
 * @param string $wrappedAesKey         The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function reidentify_table_fpe(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $encryptedFieldNames,
    string $kmsKeyName,
    string $wrappedAesKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify the content to be reidentify.
    $content = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how to un-encrypt the previously de-identified information.
    $cryptoReplaceFfxFpeConfig = (new CryptoReplaceFfxFpeConfig())
        ->setCryptoKey($cryptoKey)
        ->setCommonAlphabet(FfxCommonNativeAlphabet::NUMERIC);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoReplaceFfxFpeConfig($cryptoReplaceFfxFpeConfig);

    // Specify field to be decrypted.
    $encryptedFields = array_map(function ($encryptedFieldName) {
        return (new FieldId())
            ->setName($encryptedFieldName);
    }, explode(',', $encryptedFieldNames));

    // Associate the decryption with the specified field.
    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($encryptedFields);

    $recordtransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    $reidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordtransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setItem($content);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after re-identification (File Location): %s', $outputCsvFile);
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

from typing import List

import google.cloud.dlp


def reidentify_table_with_fpe(
    project: str,
    table_header: List[str],
    table_rows: List[List[str]],
    reid_field_names: List[str],
    key_name: str = None,
    wrapped_key: bytes = None,
    alphabet: str = None,
) -> None:
    """Uses the Data Loss Prevention API to re-identify sensitive data in a
    table that was encrypted by Format Preserving Encryption (FPE).

    Args:
        project: The Google Cloud project id to use as a parent resource.
        table_header: List of strings representing table field names.
        table_rows: List of rows representing table data.
        reid_field_names: A list of fields in table to re-identify.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The decrypted ('wrapped', in bytes) AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
        alphabet: The set of characters to replace sensitive ones with. For
            more information, see https://cloud.google.com/dlp/docs/reference/
            rest/v2/projects.deidentifyTemplates#ffxcommonnativealphabet
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the `table`. For more details on the table schema, please see
    # https://cloud.google.com/dlp/docs/reference/rest/v2/ContentItem#Table
    headers = [{"name": val} for val in table_header]
    rows = []
    for row in table_rows:
        rows.append({"values": [{"string_value": cell_val} for cell_val in row]})
    table = {"headers": headers, "rows": rows}

    # Convert table to `item`
    item = {"table": table}

    # Specify fields to be re-identified/decrypted.
    reid_field_names = [{"name": _i} for _i in reid_field_names]

    # Construct FPE configuration dictionary
    crypto_replace_ffx_fpe_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
        "common_alphabet": alphabet,
    }

    # Construct reidentify configuration dictionary
    reidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "crypto_replace_ffx_fpe_config": crypto_replace_ffx_fpe_config,
                    },
                    "fields": reid_field_names,
                }
            ]
        }
    }

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API.
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "item": item,
        }
    )

    # Print out results.
    print(f"Table after re-identification: {response.item.table}")

確定性加密

DLP API 中的確定性加密轉換方法 CryptoDeterministicConfig 會擷取輸入值 (Sensitive Data Protection 偵測到的機密資料)，使用 AES-SIV 和 CryptoKey 加密，然後將原始值替換為加密值的 Base64 編碼表示法。

使用確定性加密轉換可提升搜尋加密資料的效率。

輸入值具有以下特性：

長度至少要有 1 個字元。
沒有字元集限制。

產生的代碼具有以下特性：

加密值的 Base64 編碼表示法。
加密後不會保留輸入值的字元集 (「字母表」) 或長度。
使用 SIV 模式 (AES-SIV) 的 AES 加密和 CryptoKey 計算。
可能會重複，這是因為每個相同輸入值都會去識別化為相同代碼。這可提升搜尋加密資料的效率。您可以使用結構定義「修正項」來變更這項行為，如結構定義一節所述。
產生時會加上前置字串，格式為 [SURROGATE_TYPE]([LENGTH]):，其中 [SURROGATE_TYPE] 代表描述輸入值的代理 infoType，[LENGTH] 則代表其字元長度。代理值可讓系統使用去識別化時所用的原始加密金鑰，重新識別代碼。

以下是使用確定性加密進行去識別化的 JSON 設定示例。請注意，由於我們正在對電話號碼進行去識別化，因此選擇使用「PHONE_SURROGATE」做為描述性代理類型。[CRYPTO_KEY] 代表從 Cloud KMS 取得的未包裝加密編譯金鑰。

{
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_NUMBER"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "infoTypes":[
      {
        "name":"PHONE_NUMBER"
      }
    ]
  },
  "item":{
    "value":"My phone number is 206-555-0574, call me"
  }
}

使用這個轉換將「My phone number is 206-555-0574」(我的電話號碼是 206-555-0574) 這個字串去識別化後，會產生如下的去識別化字串：

My phone number is PHONE_SURROGATE(36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me

如要將這個字串重新識別化，您可以使用如下的 JSON 要求，其中 [CRYPTO_KEY] 是用來將字串內容去識別化的加密編譯金鑰。

{
  "reidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "infoTypes":[
            {
              "name":"PHONE_SURROGATE"
            }
          ],
          "primitiveTransformation":{
            "cryptoDeterministicConfig":{
              "cryptoKey":{
                "unwrapped":{
                  "key":"[CRYPTO_KEY]"
                }
              },
              "surrogateInfoType":{
                "name":"PHONE_SURROGATE"
              }
            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"PHONE_SURROGATE"
        },
        "surrogateType":{

        }
      }
    ]
  },
  "item":{
    "value":"My phone number is [PHONE_SURROGATE](36):ATZBu5OCCSwo+e94xSYnKYljk1OQpkW7qhzx, call me"
  }
}

將這個字串重新識別化後會產生原始字串：

My phone number is 206-555-0574, call me

如要改用包裝 (加密) 的 CryptoKey 以提高安全性，請參閱「快速入門導覽課程：去識別化及重新識別機密文字」中的範例。準備好使用用戶端程式庫去識別化內容時，請記得解碼包裝金鑰 (預設為 base64 編碼字串)，如本頁「格式保留加密」一節所示。

確定性加密範例：去識別化

這個範例使用 CryptoDeterministicConfig 轉換方法，將機密資料去識別化。詳情請參閱本頁的「確定性加密」一節。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.Collections.Generic;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithDeterministic
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string text,
        string keyName,
        string wrapperKey,
        InfoType surrogateType = null,
        IEnumerable<InfoType> infoTypes = null)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        // Construct the inspect config by specifying the type of info to be inspected.
        var inspectConfig = new InspectConfig
        {
            InfoTypes =
            {
                infoTypes ?? new InfoType[] { new InfoType { Name = "PHONE_NUMBER" } }
            }
        };

        // Construct the crypto deterministic config by providing key name, wrapped key and surrogate type.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = Google.Protobuf.ByteString.FromBase64(wrapperKey)
                }
            },
            SurrogateInfoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" }
        };


        // Construct the deidentify config using crypto deterministic config.
        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text }
        };

        // Call the API.
        DeidentifyContentResponse response = dlp.DeidentifyContent(request);

        // Check the de-identified content.
        Console.WriteLine($"De-identified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deIdentifyDeterministicEncryption de-identifies through deterministic encryption
func deIdentifyDeterministicEncryption(w io.Writer, projectID, inputStr string, infoTypeNames []string, keyFileName, cryptoKeyName, surrogateInfoType string) error {
	// projectId := "your-project-id"
	// inputStr := "My SSN is 111111111"
	// infoTypeNames := []string{"US_SOCIAL_SECURITY_NUMBER"}
	/* keyFileName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// cryptoKeyName := "YOUR_ENCRYPTED_AES_256_KEY"
	// surrogateInfoType := "SSN_TOKEN"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
	wrappedKey, err := base64.StdEncoding.DecodeString(cryptoKeyName)
	if err != nil {
		return err
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
	var infoTypes []*dlppb.InfoType
	for _, it := range infoTypeNames {
		infoTypes = append(infoTypes, &dlppb.InfoType{Name: it})
	}

	// Specify the key used by the encryption function for deterministic encryption.
	cryptoReplaceDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    wrappedKey,
					CryptoKeyName: keyFileName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateInfoType,
		},
	}

	// Specifying the info-types to look for.
	inspectConfig := &dlppb.InspectConfig{
		InfoTypes: infoTypes,
	}

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Specifying the deterministic crypto.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoReplaceDeterministicConfig,
		},
	}

	// Construct a de-identification config for de-identify deterministic request.
	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: &dlppb.InfoTypeTransformations{
				Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
					{
						PrimitiveTransformation: primitiveTransformation,
					},
				},
			},
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.Collections;
import org.apache.commons.codec.binary.Base64;

public class DeIdenitfyWithDeterministicEncryption {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    //The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToDeIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    deIdentifyWithDeterministicEncryption(projectId, textToDeIdentify, wrappedKey, kmsKeyName);
  }

  // De-identifies sensitive data in a string using deterministic encryption. The encryption is
  // performed with a wrapped key.
  public static String deIdentifyWithDeterministicEncryption(
      String projectId, String textToDeIdentify, String wrappedKey, String key) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem contentItem = ContentItem.newBuilder()
              .setValue(textToDeIdentify)
              .build();

      // Specify the type of info the inspection will look for.
      // See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types
      InfoType infoType = InfoType.newBuilder()
              .setName("US_SOCIAL_SECURITY_NUMBER")
              .build();

      InspectConfig inspectConfig = InspectConfig.newBuilder()
                  .addAllInfoTypes(Collections.singletonList(infoType))
                  .build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(ByteString.copyFrom(
                      Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();

      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      // Specify how the info from the inspection should be encrypted.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
              InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request = DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results.
      System.out.println(
          "Text after de-identification: " + response.getItem().getValue());

      return response.getItem().getValue();

    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My name is Alicia Abernathy, and my email address is aabernathy@example.com.';

// The infoTypes of information to match
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the deidentification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function deidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct inspect configuration to match information
  const inspectConfig = {
    infoTypes,
  };

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes,
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

  // Construct item to inspect
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    inspectConfig,
    item: item,
  };

  // Run de-identification request
  const [response] = await dlp.deidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await deidentifyDeterministic();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;

/**
 * De-identify content through deterministic encryption.
 * Use the Data Loss Prevention API to de-identify sensitive data in a string using deterministic encryption,
 * which is a reversible cryptographic method. The encryption is performed with a wrapped key.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $inputString       The string to deidentify (will be treated as text).
 * @param string $kmsKeyName        The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
 * Example: key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'.
 * @param string $infoTypeName      The Info type name to be inspect.
 * @param string $surrogateTypeName The name of the surrogate custom info type to use.
 * Only necessary if you want to reverse the deidentification process. Can be essentially any arbitrary
 * string, as long as it doesn't appear in your dataset otherwise.
 * @param string $wrappedAesKey     The encrypted ('wrapped') AES-256 key to use.
 *
 * */

function deidentify_deterministic(
    string $callingProjectId,
    string $kmsKeyName,
    string $wrappedAesKey,
    string $inputString = 'My PHONE NUMBER IS 731997681',
    string $infoTypeName = 'PHONE_NUMBER',
    string $surrogateTypeName = 'PHONE_TOKEN'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to DeIdentify.
    $content = (new ContentItem())->setValue($inputString);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedAesKey))
        ->setCryptoKeyName($kmsKeyName);

    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Specify how the info from the inspection should be encrypted.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey);

    if (!empty($surrogateTypeName)) {
        $cryptoDeterministicConfig = $cryptoDeterministicConfig->setSurrogateInfoType((new InfoType())
            ->setName($surrogateTypeName));
    }

    // Specify the type of info the inspection will look for.
    $infoType = (new InfoType())
        ->setName($infoTypeName);

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$infoType]);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64
from typing import List

import google.cloud.dlp


def deidentify_with_deterministic(
    project: str,
    input_str: str,
    info_types: List[str],
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Deidentifies sensitive data in a string using deterministic encryption.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
        surrogate_type: The name of the surrogate custom info type to use. Only
            necessary if you want to reverse the deidentification process. Can
            be essentially any arbitrary string, as long as it doesn't appear
            in your dataset otherwise.
        key_name: The name of the Cloud KMS key used to encrypt ('wrap') the
            AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ('wrapped') AES-256 key to use. This key
            should be encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct Deterministic encryption configuration dictionary
    crypto_replace_deterministic_config = {
        "crypto_key": {
            "kms_wrapped": {"wrapped_key": wrapped_key, "crypto_key_name": key_name}
        },
    }

    # Add surrogate type
    if surrogate_type:
        crypto_replace_deterministic_config["surrogate_info_type"] = {
            "name": surrogate_type
        }

    # Construct inspect configuration dictionary
    inspect_config = {"info_types": [{"name": info_type} for info_type in info_types]}

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_deterministic_config": crypto_replace_deterministic_config
                    }
                }
            ]
        }
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

確定性加密範例：重新識別

這個範例說明如何重新識別透過 CryptoDeterministicConfig 轉換方法去識別化的機密資料。詳情請參閱本頁的「確定性加密」一節。

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;

public class ReidentifyContentUsingDeterministic
{
    public static ReidentifyContentResponse ReidentifyDeterministic(
        string projectId,
        string text,
        string keyName,
        string wrappedKey,
        InfoType surrogateType = null)
    {
        // Instantiate the client.
        var dlp = DlpServiceClient.Create();

        // Construct the infoType if null which will be used as surrogate type and infoType both.
        var infoType = surrogateType ?? new InfoType { Name = "PHONE_TOKEN" };

        // Construct crypto deterministic config using the crypto key name and wrapped key.
        var cryptoDeterministicConfig = new CryptoDeterministicConfig
        {
            CryptoKey = new CryptoKey
            {
                KmsWrapped = new KmsWrappedCryptoKey
                {
                    CryptoKeyName = keyName,
                    WrappedKey = ByteString.FromBase64(wrappedKey)
                }
            },
            SurrogateInfoType = infoType,
        };

        // Construct the reidentify config using crypto config.
        var reidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations =
                {
                    new InfoTypeTransformations.Types.InfoTypeTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            CryptoDeterministicConfig = cryptoDeterministicConfig
                        }
                    }
                }
            }
        };

        // Construct the inspect config.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                new CustomInfoType
                {
                    InfoType = infoType,
                    SurrogateType = new CustomInfoType.Types.SurrogateType()
                }
            }
        };

        // Construct the request.
        var request = new ReidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            ReidentifyConfig = reidentifyConfig,
            InspectConfig = inspectConfig,
            Item = new ContentItem { Value = text },
        };

        // Call the API.
        ReidentifyContentResponse response = dlp.ReidentifyContent(request);

        // Inspect the response.
        Console.WriteLine($"Reidentified content: {response.Item.Value}");
        return response;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// reidentifyWithDeterministic re-identifies content encrypted by deterministic encryption.
func reidentifyWithDeterministic(w io.Writer, projectID, inputStr, surrogateType, keyName, wrappedKey string) error {
	// projectId := "my-project-id"
	// inputStr := "EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q"
	// surrogateType := "EMAIL_ADDRESS_TOKEN"
	/* keyName :=  "projects/YOUR_PROJECT/"
	   + "locations/YOUR_KEYRING_REGION/"
	   + "keyRings/YOUR_KEYRING_NAME/"
	   + "cryptoKeys/YOUR_KEY_NAME"
	*/
	// wrappedKey := "YOUR_ENCRYPTED_AES_256_KEY"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// The wrapped key is base64-encoded, but the library expects a binary
	// string, so decode it here.
	keyBytes, err := base64.StdEncoding.DecodeString(wrappedKey)
	if err != nil {
		return err
	}

	// Create crypto deterministic config.
	cryptoDeterministicConfig := &dlppb.CryptoDeterministicConfig{
		CryptoKey: &dlppb.CryptoKey{
			Source: &dlppb.CryptoKey_KmsWrapped{
				KmsWrapped: &dlppb.KmsWrappedCryptoKey{
					WrappedKey:    keyBytes,
					CryptoKeyName: keyName,
				},
			},
		},
		SurrogateInfoType: &dlppb.InfoType{
			Name: surrogateType,
		},
	}

	// Create a config for primitive transformation.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_CryptoDeterministicConfig{
			CryptoDeterministicConfig: cryptoDeterministicConfig,
		},
	}

	transformation := &dlppb.DeidentifyConfig_InfoTypeTransformations{
		InfoTypeTransformations: &dlppb.InfoTypeTransformations{
			Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
				{
					PrimitiveTransformation: primitiveTransformation,
				},
			},
		},
	}

	// Construct config to re-identify the config.
	reIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: transformation,
	}

	// Construct a config for inspection.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			{
				InfoType: &dlppb.InfoType{
					Name: surrogateType,
				},
				Type: &dlppb.CustomInfoType_SurrogateType_{
					SurrogateType: &dlppb.CustomInfoType_SurrogateType{},
				},
			},
		},
	}

	// Item to be analyzed.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: inputStr,
		},
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.ReidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		ReidentifyConfig: reIdentifyConfig,
		InspectConfig:    inspectConfig,
		Item:             item,
	}

	// Send the request.
	r, err := client.ReidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output: %v", r.GetItem().GetValue())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CryptoDeterministicConfig;
import com.google.privacy.dlp.v2.CryptoKey;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.KmsWrappedCryptoKey;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReidentifyContentRequest;
import com.google.privacy.dlp.v2.ReidentifyContentResponse;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import org.apache.commons.codec.binary.Base64;

public class ReidentifyWithDeterministicEncryption {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.

    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToIdentify = "My SSN is 372819127";
    // The encrypted ('wrapped') AES-256 key to use.
    // This key should be encrypted using the Cloud KMS key specified by key_name.
    String wrappedKey = "YOUR_ENCRYPTED_AES_256_KEY";
    // The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key.
    String kmsKeyName =
        "projects/YOUR_PROJECT/"
            + "locations/YOUR_KEYRING_REGION/"
            + "keyRings/YOUR_KEYRING_NAME/"
            + "cryptoKeys/YOUR_KEY_NAME";
    // The string to re-identify.
    String textToReIdentify =
        DeIdenitfyWithDeterministicEncryption.deIdentifyWithDeterministicEncryption(
            projectId, textToIdentify, wrappedKey, kmsKeyName);
    reIdentifyWithDeterminsiticEncryption(projectId, textToReIdentify, wrappedKey, kmsKeyName);
  }

  // Re-identifies sensitive data in a string that was previously de-identified through
  // deterministic encryption.
  public static void reIdentifyWithDeterminsiticEncryption(
      String projectId, String textToReIdentify, String wrappedKey, String key) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to re-identify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToReIdentify).build();

      CustomInfoType.SurrogateType surrogateType =
          CustomInfoType.SurrogateType.newBuilder().build();

      // Specify the surrogate type used at time of de-identification.
      InfoType surrogateInfoType = InfoType.newBuilder()
              .setName("SSN_TOKEN")
              .build();

      CustomInfoType customInfoType = CustomInfoType.newBuilder()
              .setInfoType(surrogateInfoType)
              .setSurrogateType(surrogateType)
              .build();

      InspectConfig inspectConfig = InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .build();

      // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
      KmsWrappedCryptoKey unwrappedCryptoKey = KmsWrappedCryptoKey.newBuilder()
              .setWrappedKey(
                  ByteString.copyFrom(
                          Base64.decodeBase64(wrappedKey.getBytes(StandardCharsets.UTF_8))))
              .setCryptoKeyName(key)
              .build();
      CryptoKey cryptoKey = CryptoKey.newBuilder()
              .setKmsWrapped(unwrappedCryptoKey)
              .build();

      CryptoDeterministicConfig cryptoDeterministicConfig = CryptoDeterministicConfig.newBuilder()
              .setSurrogateInfoType(surrogateInfoType)
              .setCryptoKey(cryptoKey)
              .build();

      PrimitiveTransformation primitiveTransformation = PrimitiveTransformation.newBuilder()
              .setCryptoDeterministicConfig(cryptoDeterministicConfig)
              .build();

      InfoTypeTransformations.InfoTypeTransformation infoTypeTransformation =
          InfoTypeTransformations.InfoTypeTransformation.newBuilder()
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      InfoTypeTransformations transformations = InfoTypeTransformations.newBuilder()
              .addTransformations(infoTypeTransformation)
              .build();

      DeidentifyConfig deidentifyConfig = DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(transformations)
              .build();

      // Combine configurations into a request for the service.
      ReidentifyContentRequest request = ReidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setReidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      ReidentifyContentResponse response = dlp.reidentifyContent(request);

      // Print the results.
      System.out.println("Text after re-identification: " + response.getItem().getValue());
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to deidentify
// const string = 'My name is Alicia Abernathy, and my email address is EMAIL_ADDRESS_TOKEN(52):XXXXXX';

// The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// The encrypted ('wrapped') AES-256 key to use
// This key should be encrypted using the Cloud KMS key specified above
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// The name of the surrogate custom info type to use
// Only necessary if you want to reverse the de-identification process
// Can be essentially any arbitrary string, as long as it doesn't appear
// in your dataset otherwise.
// const surrogateType = 'EMAIL_ADDRESS_TOKEN';

async function reidentifyDeterministic() {
  // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it
  const cryptoDeterministicEncryption = {
    cryptoKey: {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    },
    surrogateInfoType: {name: surrogateType},
  };

  // Construct custom infotype to match information
  const customInfoTypes = [
    {
      infoType: {
        name: surrogateType,
      },
      surrogateType: {},
    },
  ];

  // Associate the encryption with the infotype transformation.
  const infoTypeTransformations = {
    transformations: [
      {
        infoTypes: [{name: surrogateType}],
        primitiveTransformation: {
          cryptoDeterministicConfig: cryptoDeterministicEncryption,
        },
      },
    ],
  };

  // Construct item to inspect
  const item = {value: string};

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    reidentifyConfig: {
      infoTypeTransformations: infoTypeTransformations,
    },
    inspectConfig: {customInfoTypes},
    item,
  };

  // Run re-identification request
  const [response] = await dlp.reidentifyContent(request);
  const deidentifiedItem = response.item;

  // Print results
  console.log(deidentifiedItem.value);
}
await reidentifyDeterministic();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoDeterministicConfig;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\SurrogateType;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReidentifyContentRequest;

/**
 * Re-identify content encrypted by deterministic encryption.
 * Re-identify content that was previously de-identified through deterministic encryption.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under.
 * @param string $string            The string to reidentify.
 * @param string $keyName           The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key.
 * @param string $wrappedKey        The name of the Cloud KMS key use, encrypted with the KMS key in $keyName.
 * @param string $surrogateTypeName Surrogate custom info type to enable reidentification.
 */
function reidentify_deterministic(
    string $callingProjectId,
    string $string,
    string $surrogateTypeName,
    string $keyName,
    string $wrappedKey
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    // Specify what content you want the service to Re-identify.
    $item = (new ContentItem())
        ->setValue($string);

    // Specify the surrogate type used at time of de-identification.
    $surrogateType = (new InfoType())
        ->setName($surrogateTypeName);

    $customInfoType = (new CustomInfoType())
        ->setInfoType($surrogateType)
        ->setSurrogateType(new SurrogateType());

    // Create the inspect configuration object.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Specify an encrypted AES-256 key and the name of the Cloud KMS key that encrypted it.
    $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
        ->setWrappedKey(base64_decode($wrappedKey))
        ->setCryptoKeyName($keyName);

    // Create the crypto key configuration object.
    $cryptoKey = (new CryptoKey())
        ->setKmsWrapped($kmsWrappedCryptoKey);

    // Create the crypto deterministic configuration object.
    $cryptoDeterministicConfig = (new CryptoDeterministicConfig())
        ->setCryptoKey($cryptoKey)
        ->setSurrogateInfoType($surrogateType);

    // Create the information transform configuration objects.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setCryptoDeterministicConfig($cryptoDeterministicConfig);

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the reidentification configuration object.
    $reidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request.
    $reidentifyContentRequest = (new ReidentifyContentRequest())
        ->setParent($parent)
        ->setReidentifyConfig($reidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->reidentifyContent($reidentifyContentRequest);

    // Print the results.
    printf($response->getItem()->getValue());
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64

import google.cloud.dlp


def reidentify_with_deterministic(
    project: str,
    input_str: str,
    surrogate_type: str = None,
    key_name: str = None,
    wrapped_key: str = None,
) -> None:
    """Re-identifies content that was previously de-identified through deterministic encryption.
    Args:
        project: The Google Cloud project ID to use as a parent resource.
        input_str: The string to be re-identified. Provide the entire token. Example:
            EMAIL_ADDRESS_TOKEN(52):AVAx2eIEnIQP5jbNEr2j9wLOAd5m4kpSBR/0jjjGdAOmryzZbE/q
        surrogate_type: The name of the surrogate custom infoType used
            during the encryption process.
        key_name: The name of the Cloud KMS key used to encrypt ("wrap") the
            AES-256 key. Example:
            keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: The encrypted ("wrapped") AES-256 key previously used to encrypt the content.
            This key must have been encrypted using the Cloud KMS key specified by key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    wrapped_key = base64.b64decode(wrapped_key)

    # Construct reidentify Configuration
    reidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {
                    "primitive_transformation": {
                        "crypto_deterministic_config": {
                            "crypto_key": {
                                "kms_wrapped": {
                                    "wrapped_key": wrapped_key,
                                    "crypto_key_name": key_name,
                                }
                            },
                            "surrogate_info_type": {"name": surrogate_type},
                        }
                    }
                }
            ]
        }
    }

    inspect_config = {
        "custom_info_types": [
            {"info_type": {"name": surrogate_type}, "surrogate_type": {}}
        ]
    }

    # Convert string to item
    item = {"value": input_str}

    # Call the API
    response = dlp.reidentify_content(
        request={
            "parent": parent,
            "reidentify_config": reidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print results
    print(response.item.value)

資料分組

特徵分塊轉換可將數值型資料「特徵分塊」為範圍，藉此將其去識別化。產生的數字範圍是以連字號連接的字串，其中包含下限、連字號和上限。

固定大小特徵分塊

Sensitive Data Protection 可根據固定大小範圍，將數值輸入值分桶 (在 DLP API 中為 FixedSizeBucketingConfig)。您必須指定下列項目來進行固定大小特徵分塊設定：

所有特徵分塊的下限值。系統會將小於這個下限的任何值歸為一個特徵分塊。
所有特徵分塊的上限值。系統會將大於這個上限的任何值歸為一個特徵分塊。
最小與最大特徵分塊以外的每個特徵分塊大小。

舉例來說，如果將下限設為 10、將上限設為 89，並將特徵分塊大小設為 10，則會使用下列特徵分塊：小於 10、10 到 20、20 到 30、30 到 40、40 到 50、50 到 60、60 到 70、70 到 80、80 到 89、大於 89。

如要進一步瞭解特徵分塊的概念，請參閱一般化與特徵分塊一文。

可自訂的特徵分塊

可自訂的分桶 (DLP API 中的 BucketingConfig) 比固定大小的分桶更具彈性。您不必指定上下限和間隔值來建立大小相同的值區，而是指定要建立的每個值區的最大值和最小值。每個最大與最小值組合必須是相同的類型。

如要設定可自訂的特徵分塊，您必須指定個別特徵分塊。每個特徵分塊都具有下列屬性：

特徵分塊範圍的下限。省略這個值可建立沒有下限的特徵分塊。
特徵分塊範圍的上限。省略這個值可建立沒有上限的特徵分塊。
這個特徵分塊範圍的替換值。這個值會取代所有偵測到的值，只要這些值落在下限和上限之間。如未提供替代值，系統會改為產生以連字號分隔的最小值和最大值範圍。

以下方的特徵分塊轉換 JSON 設定為例：

"bucketingConfig":{
  "buckets":[
    {
      "min":{
        "integerValue":"1"
      },
      "max":{
        "integerValue":"30"
      },
      "replacementValue":{
        "stringValue":"LOW"
      }
    },
    {
      "min":{
        "integerValue":"31"
      },
      "max":{
        "integerValue":"65"
      },
      "replacementValue":{
        "stringValue":"MEDIUM"
      }
    },
    {
      "min":{
        "integerValue":"66"
      },
      "max":{
        "integerValue":"100"
      },
      "replacementValue":{
        "stringValue":"HIGH"
      }
    }
  ]
}

這會定義以下行為：

系統會將介於 1 到 30 之間的整數值替換為 LOW 以遮蔽這些值。
系統會將介於 31 到 65 之間的整數值替換為 MEDIUM 以遮蔽這些值。
系統會將介於 66 到 100 之間的整數值替換為 HIGH 以遮蔽這些值。

如要進一步瞭解特徵分塊的概念，請參閱一般化與特徵分塊一文。

日期偏移

在日期輸入值上使用日期移位轉換 (DLP API 中的 DateShiftConfig) 時，Sensitive Data Protection 會將日期移位隨機天數。

日期轉移的做法是隨機移動一組日期，但仍保留日期的順序和日期之間的時間長度。日期的轉移通常是依個人或單一實體來進行。也就是說，您可以使用相同的轉移差異為特定個人轉移所有日期，但要為其他每一個人分別使用不同的轉移差異。

如要進一步瞭解日期轉移，請參閱日期轉移一文。

以下是多種語言的程式碼範例，示範如何使用 Cloud DLP API 透過日期移位來去識別化日期。

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.common.base.Splitter;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DateShiftConfig;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.Value;
import com.google.type.Date;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class DeIdentifyWithDateShift {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    Path inputCsvFile = Paths.get("path/to/your/input/file.csv");
    Path outputCsvFile = Paths.get("path/to/your/output/file.csv");
    deIdentifyWithDateShift(projectId, inputCsvFile, outputCsvFile);
  }

  public static void deIdentifyWithDateShift(
      String projectId, Path inputCsvFile, Path outputCsvFile) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Read the contents of the CSV file into a Table
      List<FieldId> headers;
      List<Table.Row> rows;
      try (BufferedReader input = Files.newBufferedReader(inputCsvFile)) {
        // Parse and convert the first line into header names
        headers =
            Arrays.stream(input.readLine().split(","))
                .map(header -> FieldId.newBuilder().setName(header).build())
                .collect(Collectors.toList());
        // Parse the remainder of the file as Table.Rows
        rows =
            input.lines().map(DeIdentifyWithDateShift::parseLineAsRow).collect(Collectors.toList());
      }
      Table table = Table.newBuilder().addAllHeaders(headers).addAllRows(rows).build();
      ContentItem item = ContentItem.newBuilder().setTable(table).build();

      // Set the maximum days to shift dates backwards (lower bound) or forward (upper bound)
      DateShiftConfig dateShiftConfig =
          DateShiftConfig.newBuilder().setLowerBoundDays(5).setUpperBoundDays(5).build();
      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setDateShiftConfig(dateShiftConfig).build();
      // Specify which fields the DateShift should apply too
      List<FieldId> dateFields = Arrays.asList(headers.get(1), headers.get(3));
      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();
      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();
      // Specify the config for the de-identify request
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Write the results to the target CSV file
      try (BufferedWriter writer = Files.newBufferedWriter(outputCsvFile)) {
        Table outTable = response.getItem().getTable();
        String headerOut =
            outTable.getHeadersList().stream()
                .map(FieldId::getName)
                .collect(Collectors.joining(","));
        writer.write(headerOut + "\n");

        List<String> rowOutput =
            outTable.getRowsList().stream()
                .map(row -> joinRow(row.getValuesList()))
                .collect(Collectors.toList());
        for (String line : rowOutput) {
          writer.write(line + "\n");
        }
        System.out.println("Content written to file: " + outputCsvFile.toString());
      }
    }
  }

  // Convert the string from the csv file into com.google.type.Date
  public static Date parseAsDate(String s) {
    LocalDate date = LocalDate.parse(s, DateTimeFormatter.ofPattern("MM/dd/yyyy"));
    return Date.newBuilder()
        .setDay(date.getDayOfMonth())
        .setMonth(date.getMonthValue())
        .setYear(date.getYear())
        .build();
  }

  // Each row is in the format: Name,BirthDate,CreditCardNumber,RegisterDate
  public static Table.Row parseLineAsRow(String line) {
    List<String> values = Splitter.on(",").splitToList(line);
    Value name = Value.newBuilder().setStringValue(values.get(0)).build();
    Value birthDate = Value.newBuilder().setDateValue(parseAsDate(values.get(1))).build();
    Value creditCardNumber = Value.newBuilder().setStringValue(values.get(2)).build();
    Value registerDate = Value.newBuilder().setDateValue(parseAsDate(values.get(3))).build();
    return Table.Row.newBuilder()
        .addValues(name)
        .addValues(birthDate)
        .addValues(creditCardNumber)
        .addValues(registerDate)
        .build();
  }

  public static String formatDate(Date d) {
    return String.format("%s/%s/%s", d.getMonth(), d.getDay(), d.getYear());
  }

  public static String joinRow(List<Value> values) {
    String name = values.get(0).getStringValue();
    String birthDate = formatDate(values.get(1).getDateValue());
    String creditCardNumber = values.get(2).getStringValue();
    String registerDate = formatDate(values.get(3).getDateValue());
    return String.join(",", name, birthDate, creditCardNumber, registerDate);
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// Import other required libraries
const fs = require('fs');

// The project ID to run the API call under
// const projectId = 'my-project';

// The path to the CSV file to deidentify
// The first row of the file must specify column names, and all other rows
// must contain valid values
// const inputCsvFile = '/path/to/input/file.csv';

// The path to save the date-shifted CSV file to
// const outputCsvFile = '/path/to/output/file.csv';

// The list of (date) fields in the CSV file to date shift
// const dateFields = [{ name: 'birth_date'}, { name: 'register_date' }];

// The maximum number of days to shift a date backward
// const lowerBoundDays = 1;

// The maximum number of days to shift a date forward
// const upperBoundDays = 1;

// (Optional) The column to determine date shift amount based on
// If this is not specified, a random shift amount will be used for every row
// If this is specified, then 'wrappedKey' and 'keyName' must also be set
// const contextFieldId = [{ name: 'user_id' }];

// (Optional) The name of the Cloud KMS key used to encrypt ('wrap') the AES-256 key
// If this is specified, then 'wrappedKey' and 'contextFieldId' must also be set
// const keyName = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME';

// (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
// This key should be encrypted using the Cloud KMS key specified above
// If this is specified, then 'keyName' and 'contextFieldId' must also be set
// const wrappedKey = 'YOUR_ENCRYPTED_AES_256_KEY'

// Helper function for converting CSV rows to Protobuf types
const rowToProto = row => {
  const values = row.split(',');
  const convertedValues = values.map(value => {
    if (Date.parse(value)) {
      const date = new Date(value);
      return {
        dateValue: {
          year: date.getFullYear(),
          month: date.getMonth() + 1,
          day: date.getDate(),
        },
      };
    } else {
      // Convert all non-date values to strings
      return {stringValue: value.toString()};
    }
  });
  return {values: convertedValues};
};

async function deidentifyWithDateShift() {
  // Read and parse a CSV file
  const csvLines = fs
    .readFileSync(inputCsvFile)
    .toString()
    .split('\n')
    .filter(line => line.includes(','));
  const csvHeaders = csvLines[0].split(',');
  const csvRows = csvLines.slice(1);

  // Construct the table object
  const tableItem = {
    table: {
      headers: csvHeaders.map(header => {
        return {name: header};
      }),
      rows: csvRows.map(row => rowToProto(row)),
    },
  };

  // Construct DateShiftConfig
  const dateShiftConfig = {
    lowerBoundDays: lowerBoundDays,
    upperBoundDays: upperBoundDays,
  };

  if (contextFieldId && keyName && wrappedKey) {
    dateShiftConfig.context = {name: contextFieldId};
    dateShiftConfig.cryptoKey = {
      kmsWrapped: {
        wrappedKey: wrappedKey,
        cryptoKeyName: keyName,
      },
    };
  } else if (contextFieldId || keyName || wrappedKey) {
    throw new Error(
      'You must set either ALL or NONE of {contextFieldId, keyName, wrappedKey}!'
    );
  }

  // Construct deidentification request
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation: {
              dateShiftConfig: dateShiftConfig,
            },
          },
        ],
      },
    },
    item: tableItem,
  };

  // Run deidentification request
  const [response] = await dlp.deidentifyContent(request);
  const tableRows = response.item.table.rows;

  // Write results to a CSV file
  tableRows.forEach((row, rowIndex) => {
    const rowValues = row.values.map(
      value =>
        value.stringValue ||
        `${value.dateValue.month}/${value.dateValue.day}/${value.dateValue.year}`
    );
    csvLines[rowIndex + 1] = rowValues.join(',');
  });
  csvLines.push('');
  fs.writeFileSync(outputCsvFile, csvLines.join('\n'));

  // Print status
  console.log(`Successfully saved date-shift output to ${outputCsvFile}`);
}

deidentifyWithDateShift();

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import base64
import csv
from datetime import datetime
from typing import List

import google.cloud.dlp
from google.cloud.dlp_v2 import types


def deidentify_with_date_shift(
    project: str,
    input_csv_file: str = None,
    output_csv_file: str = None,
    date_fields: List[str] = None,
    lower_bound_days: int = None,
    upper_bound_days: int = None,
    context_field_id: str = None,
    wrapped_key: str = None,
    key_name: str = None,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file by
        pseudorandomly shifting them.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The path to save the date-shifted CSV file.
        date_fields: The list of (date) fields in the CSV file to date shift.
            Example: ['birth_date', 'register_date']
        lower_bound_days: The maximum number of days to shift a date backward
        upper_bound_days: The maximum number of days to shift a date forward
        context_field_id: (Optional) The column to determine date shift amount
            based on. If this is not specified, a random shift amount will be
            used for every row. If this is specified, then 'wrappedKey' and
            'keyName' must also be set. Example:
            contextFieldId = [{ 'name': 'user_id' }]
        key_name: (Optional) The name of the Cloud KMS key used to encrypt
            ('wrap') the AES-256 key. Example:
            key_name = 'projects/YOUR_GCLOUD_PROJECT/locations/YOUR_LOCATION/
            keyRings/YOUR_KEYRING_NAME/cryptoKeys/YOUR_KEY_NAME'
        wrapped_key: (Optional) The encrypted ('wrapped') AES-256 key to use.
            This key should be encrypted using the Cloud KMS key specified by
            key_name.
    Returns:
        None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Convert date field list to Protobuf type
    def map_fields(field: str) -> dict:
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    f = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            f.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header: str) -> dict:
        return {"name": header}

    def map_data(value: str) -> dict:
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row: str) -> dict:
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, f[0])
    csv_rows = map(map_rows, f[1:])

    # Construct the table dict
    table_item = {"table": {"headers": csv_headers, "rows": csv_rows}}

    # Construct date shift config
    date_shift_config = {
        "lower_bound_days": lower_bound_days,
        "upper_bound_days": upper_bound_days,
    }

    # If using a Cloud KMS key, add it to the date_shift_config.
    # The wrapped key is base64-encoded, but the library expects a binary
    # string, so decode it here.
    if context_field_id and key_name and wrapped_key:
        date_shift_config["context"] = {"name": context_field_id}
        date_shift_config["crypto_key"] = {
            "kms_wrapped": {
                "wrapped_key": base64.b64decode(wrapped_key),
                "crypto_key_name": key_name,
            }
        }
    elif context_field_id or key_name or wrapped_key:
        raise ValueError(
            """You must set either ALL or NONE of
        [context_field_id, key_name, wrapped_key]!"""
        )

    # Construct Deidentify Config
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "fields": date_fields,
                    "primitive_transformation": {
                        "date_shift_config": date_shift_config
                    },
                }
            ]
        }
    }

    # Write to CSV helper methods
    def write_header(header: types.storage.FieldId) -> str:
        return header.name

    def write_data(data: types.storage.Value) -> str:
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "item": table_item,
        }
    )

    # Write results to CSV file
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))
    # Print status
    print(f"Successfully saved date-shift output to {output_csv_file}")

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyDateShift shifts dates found in the input between lowerBoundDays and
// upperBoundDays.
func deidentifyDateShift(w io.Writer, projectID string, lowerBoundDays, upperBoundDays int32, input string) error {
	// projectID := "my-project-id"
	// lowerBoundDays := -1
	// upperBound := -1
	// input := "2016-01-10"
	// Will print "2016-01-09"
	ctx := context.Background()
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}
	defer client.Close()
	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: &dlppb.InfoTypeTransformations{
					Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
						{
							InfoTypes: []*dlppb.InfoType{}, // Match all info types.
							PrimitiveTransformation: &dlppb.PrimitiveTransformation{
								Transformation: &dlppb.PrimitiveTransformation_DateShiftConfig{
									DateShiftConfig: &dlppb.DateShiftConfig{
										LowerBoundDays: lowerBoundDays,
										UpperBoundDays: upperBoundDays,
									},
								},
							},
						},
					},
				},
			},
		},
		// The InspectConfig is used to identify the DATE fields.
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes: []*dlppb.InfoType{
				{
					Name: "DATE",
				},
			},
		},
		// The item to analyze.
		Item: &dlppb.ContentItem{
			DataItem: &dlppb.ContentItem_Value{
				Value: input,
			},
		},
	}
	// Send the request.
	r, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return fmt.Errorf("DeidentifyContent: %w", err)
	}
	// Print the result.
	fmt.Fprint(w, r.GetItem().GetValue())
	return nil
}

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

use DateTime;
use Exception;
use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CryptoKey;
use Google\Cloud\Dlp\V2\DateShiftConfig;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\KmsWrappedCryptoKey;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\Value;
use Google\Type\Date;

/**
 * Deidentify dates in a CSV file by pseudorandomly shifting them.
 * If contextFieldName is not specified, a random shift amount will be used for every row.
 * If contextFieldName is specified, then 'wrappedKey' and 'keyName' must also be set.
 *
 * @param string $callingProjectId  The GCP Project ID to run the API call under
 * @param string $inputCsvFile      The path to the CSV file to deidentify
 * @param string $outputCsvFile     The path to save the date-shifted CSV file to
 * @param string $dateFieldNames    The comma-separated list of (date) fields in the CSV file to date shift
 * @param int    $lowerBoundDays    The maximum number of days to shift a date backward
 * @param int    $upperBoundDays    The maximum number of days to shift a date forward
 * @param string $contextFieldName  (Optional) The column to determine date shift amount based on
 * @param string $keyName           (Optional) The encrypted ('wrapped') AES-256 key to use when shifting dates
 * @param string $wrappedKey        (Optional) The name of the Cloud KMS key used to encrypt (wrap) the AES-256 key
 */
function deidentify_dates(
    string $callingProjectId,
    string $inputCsvFile,
    string $outputCsvFile,
    string $dateFieldNames,
    int $lowerBoundDays,
    int $upperBoundDays,
    string $contextFieldName = '',
    string $keyName = '',
    string $wrappedKey = ''
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            if ($csvDate = DateTime::createFromFormat('m/d/Y', $csvValue)) {
                $date = (new Date())
                    ->setYear((int) $csvDate->format('Y'))
                    ->setMonth((int) $csvDate->format('m'))
                    ->setDay((int) $csvDate->format('d'));
                return (new Value())
                    ->setDateValue($date);
            } else {
                return (new Value())
                    ->setStringValue($csvValue);
            }
        }, explode(',', $csvRow));

        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Convert date fields into protobuf objects
    $dateFields = array_map(function ($dateFieldName) {
        return (new FieldId())->setName($dateFieldName);
    }, explode(',', $dateFieldNames));

    // Construct the table object
    $table = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    $item = (new ContentItem())
        ->setTable($table);

    // Construct dateShiftConfig
    $dateShiftConfig = (new DateShiftConfig())
        ->setLowerBoundDays($lowerBoundDays)
        ->setUpperBoundDays($upperBoundDays);

    if ($contextFieldName && $keyName && $wrappedKey) {
        $contextField = (new FieldId())
            ->setName($contextFieldName);

        // Create the wrapped crypto key configuration object
        $kmsWrappedCryptoKey = (new KmsWrappedCryptoKey())
            ->setWrappedKey(base64_decode($wrappedKey))
            ->setCryptoKeyName($keyName);

        $cryptoKey = (new CryptoKey())
            ->setKmsWrapped($kmsWrappedCryptoKey);

        $dateShiftConfig
            ->setContext($contextField)
            ->setCryptoKey($cryptoKey);
    } elseif ($contextFieldName || $keyName || $wrappedKey) {
        throw new Exception('You must set either ALL or NONE of {$contextFieldName, $keyName, $wrappedKey}!');
    }

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setDateShiftConfig($dateShiftConfig);

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($dateFields);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordTransformations);

    $parent = "projects/$callingProjectId/locations/global";

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($item);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Check for errors
    foreach ($response->getOverview()->getTransformationSummaries() as $summary) {
        foreach ($summary->getResults() as $result) {
            if ($details = $result->getDetails()) {
                printf('Error: %s' . PHP_EOL, $details);
                return;
            }
        }
    }

    // Save the results to a file
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            if ($tableValue->getStringValue()) {
                return $tableValue->getStringValue();
            }
            $protoDate = $tableValue->getDateValue();
            $date = mktime(0, 0, 0, $protoDate->getMonth(), $protoDate->getDay(), $protoDate->getYear());
            return strftime('%D', $date);
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    fclose($csvRef);
    printf('Deidentified dates written to %s' . PHP_EOL, $outputCsvFile);
}

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using System.IO;
using System.Linq;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;

public class DeidentifyWithDateShift
{
    public static DeidentifyContentResponse Deidentify(
        string projectId,
        string inputCsvFilePath,
        int lowerBoundDays,
        int upperBoundDays,
        string dateFields,
        string contextField,
        string keyName,
        string wrappedKey)
    {
        var hasKeyName = !string.IsNullOrEmpty(keyName);
        var hasWrappedKey = !string.IsNullOrEmpty(wrappedKey);
        var hasContext = !string.IsNullOrEmpty(contextField);
        bool allFieldsSet = hasKeyName && hasWrappedKey && hasContext;
        bool noFieldsSet = !hasKeyName && !hasWrappedKey && !hasContext;
        if (!(allFieldsSet || noFieldsSet))
        {
            throw new ArgumentException("Must specify ALL or NONE of: {contextFieldId, keyName, wrappedKey}!");
        }

        var dlp = DlpServiceClient.Create();

        // Read file
        var csvLines = File.ReadAllLines(inputCsvFilePath);
        var csvHeaders = csvLines[0].Split(',');
        var csvRows = csvLines.Skip(1).ToArray();

        // Convert dates to protobuf format, and everything else to a string
        var protoHeaders = csvHeaders.Select(header => new FieldId { Name = header });
        var protoRows = csvRows.Select(csvRow =>
        {
            var rowValues = csvRow.Split(',');
            var protoValues = rowValues.Select(rowValue =>
               System.DateTime.TryParse(rowValue, out var parsedDate)
               ? new Value { DateValue = Google.Type.Date.FromDateTime(parsedDate) }
               : new Value { StringValue = rowValue });

            var rowObject = new Table.Types.Row();
            rowObject.Values.Add(protoValues);
            return rowObject;
        });

        var dateFieldList = dateFields
            .Split(',')
            .Select(field => new FieldId { Name = field });

        // Construct + execute the request
        var dateShiftConfig = new DateShiftConfig
        {
            LowerBoundDays = lowerBoundDays,
            UpperBoundDays = upperBoundDays
        };

        dateShiftConfig.Context = new FieldId { Name = contextField };
        dateShiftConfig.CryptoKey = new CryptoKey
        {
            KmsWrapped = new KmsWrappedCryptoKey
            {
                WrappedKey = ByteString.FromBase64(wrappedKey),
                CryptoKeyName = keyName
            }
        };

        var deidConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            DateShiftConfig = dateShiftConfig
                        },
                        Fields = { dateFieldList }
                    }
                }
            }
        };

        var response = dlp.DeidentifyContent(
            new DeidentifyContentRequest
            {
                Parent = new LocationName(projectId, "global").ToString(),
                DeidentifyConfig = deidConfig,
                Item = new ContentItem
                {
                    Table = new Table
                    {
                        Headers = { protoHeaders },
                        Rows = { protoRows }
                    }
                }
            });

        return response;
    }
}

時間擷取

執行時間擷取 (DLP API 中的 TimePartConfig) 物件會保留日期、時間或時間戳記中相符值的一部分。您可以向 Sensitive Data Protection 指定要擷取的時間值類型，包括年、月、日等 (列舉在 TimePart 物件中)。

舉例來說，假設您設定了 timePartConfig 轉換，並將要擷取的時間部分設為 YEAR。將下表第一欄的資料傳送至 Sensitive Data Protection 後，您會得到第二欄的轉換值：

原始值	轉換值
`9/21/1976`	`1976`
`6/7/1945`	`1945`
`1/20/2009`	`2009`
`7/4/1776`	`1776`
`8/1/1984`	`1984`
`4/21/1982`	`1982`

C#

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithTimeExtraction
{
    public static Table Deidentify(
        string projectId,
        Table tableToInspect = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Construct the table if null.
        if (tableToInspect == null)
        {
            var row1 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 10, Month = 6, Year = 2020 }
                }
            };
            var row2 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 23, Month = 12, Year = 2022 }
                }
            };
            var row3 = new Value[]
            {
                new Value
                {
                    DateValue = new Google.Type.Date { Day = 1, Month = 1, Year = 2023 }
                }
            };

            tableToInspect = new Table
            {
                Headers = { new FieldId { Name = "Date" } },
                Rows =
                {
                    new Table.Types.Row { Values = { row1 } },
                    new Table.Types.Row { Values = { row2 } },
                    new Table.Types.Row { Values = { row3 } }
                }
            };
        }

        // Construct the table content item.
        var contentItem = new ContentItem { Table = tableToInspect };

        // Construct the time part config to deidentify specific value from the date.
        var timePartConfig = new TimePartConfig
        {
            PartToExtract = TimePartConfig.Types.TimePart.Year
        };

        // Construct the deidentify config using time part config created above.
        var deidentifyConfig = new DeidentifyConfig
        {
            RecordTransformations = new RecordTransformations
            {
                FieldTransformations =
                {
                    new FieldTransformation
                    {
                        PrimitiveTransformation = new PrimitiveTransformation
                        {
                            TimePartConfig = timePartConfig
                        }
                    }
                }
            }
        };

        // Construct the request.
        var request = new DeidentifyContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the response.
        Console.Write(response.Item.Table);

        return response.Item.Table;
    }
}

Go

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deIdentifyTimeExtract De-identifies a table by extracting specific parts
// of the time (year in this case) from designated fields.
func deIdentifyTimeExtract(w io.Writer, projectID string) error {

	row1 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "Ann"}},
			{Type: &dlppb.Value_StringValue{StringValue: "01/01/1970"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4532908762519852"}},
			{Type: &dlppb.Value_StringValue{StringValue: "07/21/1996"}},
		},
	}

	row2 := &dlppb.Table_Row{
		Values: []*dlppb.Value{
			{Type: &dlppb.Value_StringValue{StringValue: "James"}},
			{Type: &dlppb.Value_StringValue{StringValue: "03/06/1988"}},
			{Type: &dlppb.Value_StringValue{StringValue: "4301261899725540"}},
			{Type: &dlppb.Value_StringValue{StringValue: "04/09/2001"}},
		},
	}

	// Specify the table to de-identify.
	tableToDeidentify := &dlppb.Table{
		Headers: []*dlppb.FieldId{
			{Name: "Name"},
			{Name: "Birth Date"},
			{Name: "Credit Card"},
			{Name: "Register Date"},
		},
		Rows: []*dlppb.Table_Row{
			{Values: row1.Values},
			{Values: row2.Values},
		},
	}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to de-identify.
	contentItem := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Table{
			Table: tableToDeidentify,
		},
	}

	// Specify the time part to extract.
	timePartConfig := &dlppb.PrimitiveTransformation_TimePartConfig{
		TimePartConfig: &dlppb.TimePartConfig{
			PartToExtract: dlppb.TimePartConfig_YEAR,
		},
	}

	transformation := &dlppb.PrimitiveTransformation{
		Transformation: timePartConfig,
	}

	// Specify which fields the TimePart should apply too.
	dateFields := []*dlppb.FieldId{
		{Name: "Birth Date"},
		{Name: "Register Date"},
	}

	fieldTransformation := &dlppb.FieldTransformation{
		Fields: dateFields,
		Transformation: &dlppb.FieldTransformation_PrimitiveTransformation{
			PrimitiveTransformation: transformation,
		},
	}

	recordTransformations := []*dlppb.RecordTransformations{
		{
			FieldTransformations: []*dlppb.FieldTransformation{
				fieldTransformation,
			},
		},
	}

	// Specify the config for the de-identify request.
	deidentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_RecordTransformations{
			RecordTransformations: recordTransformations[0],
		},
	}

	// Construct the de-identification request to be sent by the client.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deidentifyConfig,
		Item:             contentItem,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the results.
	fmt.Fprintf(w, "Table after de-identification : %v", resp.GetItem().GetTable())
	return nil
}

Java

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.FieldId;
import com.google.privacy.dlp.v2.FieldTransformation;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.RecordTransformations;
import com.google.privacy.dlp.v2.Table;
import com.google.privacy.dlp.v2.TimePartConfig;
import com.google.privacy.dlp.v2.Value;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class DeIdentifyWithTimeExtraction {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    Table tableToDeIdentify =
        Table.newBuilder()
            .addHeaders(FieldId.newBuilder().setName("Name").build())
            .addHeaders(FieldId.newBuilder().setName("Birth Date").build())
            .addHeaders(FieldId.newBuilder().setName("Credit Card").build())
            .addHeaders(FieldId.newBuilder().setName("Register Date").build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Alex").build())
                    .addValues(Value.newBuilder().setStringValue("01/01/1970").build())
                    .addValues(Value.newBuilder().setStringValue("4532908762519852").build())
                    .addValues(Value.newBuilder().setStringValue("07/21/1996").build())
                    .build())
            .addRows(
                Table.Row.newBuilder()
                    .addValues(Value.newBuilder().setStringValue("Charlie").build())
                    .addValues(Value.newBuilder().setStringValue("03/06/1988").build())
                    .addValues(Value.newBuilder().setStringValue("4301261899725540").build())
                    .addValues(Value.newBuilder().setStringValue("04/09/2001").build())
                    .build())
            .build();
    deIdentifyWithTimeExtraction(projectId, tableToDeIdentify);
  }

  // De-identifies a table by extracting specific parts of the time (year in this case) from
  // designated fields.
  public static Table deIdentifyWithTimeExtraction(String projectId, Table tableToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify what content you want the service to de-identify.
      ContentItem item = ContentItem.newBuilder().setTable(tableToDeIdentify).build();

      // Specify the time part to extract.
      TimePartConfig timePartConfig =
          TimePartConfig.newBuilder().setPartToExtract(TimePartConfig.TimePart.YEAR).build();

      PrimitiveTransformation transformation =
          PrimitiveTransformation.newBuilder().setTimePartConfig(timePartConfig).build();

      // Specify which fields the TimePart should apply too.
      List<FieldId> dateFields =
          Arrays.asList(
              FieldId.newBuilder().setName("Birth Date").build(),
              FieldId.newBuilder().setName("Register Date").build());

      FieldTransformation fieldTransformation =
          FieldTransformation.newBuilder()
              .addAllFields(dateFields)
              .setPrimitiveTransformation(transformation)
              .build();

      RecordTransformations recordTransformations =
          RecordTransformations.newBuilder().addFieldTransformations(fieldTransformation).build();

      // Construct the configuration for the de-id request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder().setRecordTransformations(recordTransformations).build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service.
      DeidentifyContentResponse response = dlp.deidentifyContent(request);
      System.out.println("Table after de-identification: " + response.getItem().getTable());
      return response.getItem().getTable();
    }
  }
}

Node.js

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to de-identify
// const string = 'My BirthDay is on 9/21/1976';

// Table to de-identify
const tablularData = {
  headers: [
    {name: 'Name'},
    {name: 'Birth Date'},
    {name: 'Credit Card'},
    {name: 'Register Date'},
  ],
  rows: [
    {
      values: [
        {stringValue: 'Ann'},
        {stringValue: '01/01/1970'},
        {stringValue: '4532908762519852'},
        {stringValue: '07/21/1996'},
      ],
    },
    {
      values: [
        {stringValue: 'James'},
        {stringValue: '03/06/1988'},
        {stringValue: '4301261899725540'},
        {stringValue: '04/09/2001'},
      ],
    },
  ],
};

async function deidentifyWithTimeExtraction() {
  // Specify transformation to extract a portion of date.
  const primitiveTransformation = {
    timePartConfig: {
      partToExtract: 'YEAR',
    },
  };

  // Specify which fields the TimePart should apply too
  const dateFields = [{name: 'Birth Date'}, {name: 'Register Date'}];

  // Construct de-identification request to be sent by client.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    deidentifyConfig: {
      recordTransformations: {
        fieldTransformations: [
          {
            fields: dateFields,
            primitiveTransformation,
          },
        ],
      },
    },
    item: {
      table: tablularData,
    },
  };

  // Use the client to send the API request.
  const [response] = await dlp.deidentifyContent(request);

  // Print results.
  console.log(
    `Table after de-identification: ${JSON.stringify(response.item.table)}`
  );
}

deidentifyWithTimeExtraction();

PHP

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\FieldId;
use Google\Cloud\Dlp\V2\FieldTransformation;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\RecordTransformations;
use Google\Cloud\Dlp\V2\Table;
use Google\Cloud\Dlp\V2\Table\Row;
use Google\Cloud\Dlp\V2\TimePartConfig;
use Google\Cloud\Dlp\V2\TimePartConfig\TimePart;
use Google\Cloud\Dlp\V2\Value;

/**
 * De-identify data using time extraction.
 * Performing time extraction object preserves a portion of a matched value that on a date, a time,
 * or a timestamp preserves a portion of a matched value. You specify to Cloud DLP what kind of
 * time value you want to extract, including year, month, day of the month, and so on.
 *
 * https://cloud.google.com/dlp/docs/concepts-bucketing#bucketing_scenario_1
 *
 * @param string $callingProjectId      The Google Cloud project id to use as a parent resource.
 * @param string $inputCsvFile          The input file(csv) path to deidentify.
 * @param string $outputCsvFile         The oupt file path to save deidentify content.
 *
 */
function deidentify_time_extract(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $inputCsvFile = './test/data/table3.csv',
    string $outputCsvFile = './test/data/deidentify_time_extract_output.csv'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Read a CSV file.
    $csvLines = file($inputCsvFile, FILE_IGNORE_NEW_LINES);
    $csvHeaders = explode(',', $csvLines[0]);
    $csvRows = array_slice($csvLines, 1);

    // Convert CSV file into protobuf objects.
    $tableHeaders = array_map(function ($csvHeader) {
        return (new FieldId)
            ->setName($csvHeader);
    }, $csvHeaders);

    $tableRows = array_map(function ($csvRow) {
        $rowValues = array_map(function ($csvValue) {
            return (new Value())
                ->setStringValue($csvValue);
        }, explode(',', $csvRow));
        return (new Row())
            ->setValues($rowValues);
    }, $csvRows);

    // Construct the table object.
    $tableToDeIdentify = (new Table())
        ->setHeaders($tableHeaders)
        ->setRows($tableRows);

    // Specify what content you want the service to de-identify.
    $contentItem = (new ContentItem())
        ->setTable($tableToDeIdentify);

    // Specify the time part to extract.
    $timePartConfig = (new TimePartConfig())
        ->setPartToExtract(TimePart::YEAR);

    $primitiveTransformation = (new PrimitiveTransformation())
        ->setTimePartConfig($timePartConfig);

    // Specify which fields the TimePart should apply too.
    $fieldIds = [
        (new FieldId())
            ->setName('Birth_Date'),
        (new FieldId())
            ->setName('Register_Date')
    ];

    $fieldTransformation = (new FieldTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setFields($fieldIds);

    $recordTransformations = (new RecordTransformations())
        ->setFieldTransformations([$fieldTransformation]);

    // Construct the configuration for the de-id request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setRecordTransformations($recordTransformations);

    $parent = "projects/$callingProjectId/locations/global";

    // Send the request and receive response from the service.
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results.
    $csvRef = fopen($outputCsvFile, 'w');
    fputcsv($csvRef, $csvHeaders);
    foreach ($response->getItem()->getTable()->getRows() as $tableRow) {
        $values = array_map(function ($tableValue) {
            return $tableValue->getStringValue();
        }, iterator_to_array($tableRow->getValues()));
        fputcsv($csvRef, $values);
    };
    printf('Table after deidentify (File Location): %s', $outputCsvFile);
}

Python

如要瞭解如何安裝及使用 Sensitive Data Protection 的用戶端程式庫，請參閱「Sensitive Data Protection 用戶端程式庫」。

如要向 Sensitive Data Protection 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

import csv
from datetime import datetime
from typing import List

import google.cloud.dlp


def deidentify_with_time_extract(
    project: str,
    date_fields: List[str],
    input_csv_file: str,
    output_csv_file: str,
) -> None:
    """Uses the Data Loss Prevention API to deidentify dates in a CSV file through
     time part extraction.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        date_fields: A list of (date) fields in CSV file to de-identify
            through time extraction. Example: ['birth_date', 'register_date'].
            Date values in format: mm/DD/YYYY are considered as part of this
            sample.
        input_csv_file: The path to the CSV file to deidentify. The first row
            of the file must specify column names, and all other rows must
            contain valid values.
        output_csv_file: The output file path to save the time extracted data.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Convert date field list to Protobuf type.
    def map_fields(field):
        return {"name": field}

    if date_fields:
        date_fields = map(map_fields, date_fields)
    else:
        date_fields = []

    csv_lines = []
    with open(input_csv_file) as csvfile:
        reader = csv.reader(csvfile)
        for row in reader:
            csv_lines.append(row)

    #  Helper function for converting CSV rows to Protobuf types
    def map_headers(header):
        return {"name": header}

    def map_data(value):
        try:
            date = datetime.strptime(value, "%m/%d/%Y")
            return {
                "date_value": {"year": date.year, "month": date.month, "day": date.day}
            }
        except ValueError:
            return {"string_value": value}

    def map_rows(row):
        return {"values": map(map_data, row)}

    # Using the helper functions, convert CSV rows to protobuf-compatible
    # dictionaries.
    csv_headers = map(map_headers, csv_lines[0])
    csv_rows = map(map_rows, csv_lines[1:])

    # Construct the table dictionary.
    table = {"headers": csv_headers, "rows": csv_rows}

    # Construct the `item` for table to de-identify.
    item = {"table": table}

    # Construct deidentify configuration dictionary.
    deidentify_config = {
        "record_transformations": {
            "field_transformations": [
                {
                    "primitive_transformation": {
                        "time_part_config": {"part_to_extract": "YEAR"}
                    },
                    "fields": date_fields,
                }
            ]
        }
    }

    # Write to CSV helper methods.
    def write_header(header):
        return header.name

    def write_data(data):
        return data.string_value or "{}/{}/{}".format(
            data.date_value.month,
            data.date_value.day,
            data.date_value.year,
        )

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "item": item,
        }
    )

    # Print the result.
    print(f"Table after de-identification: {response.item.table}")

    # Write results to CSV file.
    with open(output_csv_file, "w") as csvfile:
        write_file = csv.writer(csvfile, delimiter=",")
        write_file.writerow(map(write_header, response.item.table.headers))
        for row in response.item.table.rows:
            write_file.writerow(map(write_data, row.values))

    # Print status.
    print(f"Successfully saved date-extracted output to {output_csv_file}")

轉換參考資料 透過集合功能整理內容 你可以依據偏好儲存及分類內容。

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InfoType 替換

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加密式權杖化轉換

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格式保留加密範例：去識別化

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格式保留加密範例：使用代理類型去識別化

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格式保留加密範例：將資料表中的機密資料去識別化

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格式保留加密範例：重新識別

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格式保留加密範例：重新識別文字

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格式保留加密範例：使用代理類型重新識別

轉換參考資料