Docs 菜单
Docs 主页
/
MongoDB Manual
/ / / / /

通过 AWS 使用客户端字段级自动加密

在此页面上

  • Overview
  • 开始之前
  • 设置 KMS
  • 创建客户主密钥
  • 创建 AWS IAM 用户
  • 创建应用程序
  • 在密钥保管库集合上创建唯一索引
  • 创建新的数据加密密钥
  • 配置 MongoClient
  • 插入具有加密字段的文档
  • 检索具有加密字段的文档
  • 了解详情

本指南介绍如何使用 Amazon Web Services (AWS) KMS 构建启用了客户端字段级加密 (CSFLE) 的应用程序。

在完成本指南中的步骤后,您应该具有:

  • 托管在 AWS KMS 实例上的客户主密钥。

  • 正常工作的客户端应用程序;可以使用客户主密钥插入具有加密字段的文档。

要完成并运行本指南中的代码,您需要按照安装要求页面所示设立开发环境。

在本指南中,代码示例使用占位符文本。在运行示例之前,请用您自己的值替换这些占位符。

例如:

dek_id := "<Your Base64 DEK ID>"

您可以将引号之间的内容替换为您的 DEK ID。

dek_id := "abc123"

从页面右侧的 Select your language(选择语言)下拉菜单中,选择要查看代码示例的编程语言。

提示

请参阅:完整应用程序

要查看本教程的完整可运行应用程序代码,请访问以下链接:

完整的 C# 应用程序

// You are viewing the C# driver code examples.
// Use the dropdown menu to select a different driver.
// You are viewing the Golang driver code examples.
// Use the dropdown menu to select a different driver.

重要

使用 go buildgo run 构建或运行本指南中的Go代码时,请始终包含 cse构建约束以启用CSFLE 。 有关包含构建约束的示例,请参阅以下shell命令:

go run -tags cse insert-encrypted-document.go
// You are viewing the Java synchronous driver code examples.
// Use the dropdown menu to select a different driver.
// You are viewing the Node.js driver code examples.
// Use the dropdown menu to select a different driver.
# You are viewing the Python driver code examples.
# Use the dropdown menu to select a different driver.
1
1
2
3

按照有关创建对称 KMS 密钥的官方 AWS 文档,创建新的对称密钥。您创建的密钥是客户主密钥。选择有助于识别该密钥的名称和描述;这些字段不影响 CMK 功能或配置。

在密钥生成过程的 Usage Permissions 步骤中,应用以下默认密钥策略,该策略使得身份和访问管理 (IAM) 策略能够授予对您的客户主密钥的访问权限:

{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Enable IAM User Permissions",
"Effect": "Allow",
"Principal": {
"AWS": "<ARN of your AWS account principal>"
},
"Action": "kms:*",
"Resource": "*"
}
]
}

重要

记录您的客户主密钥的 Amazon 资源名称 (ARN) 和区域。您将在本指南的后续步骤中用到它们。

提示

了解详情

要了解有关客户主密钥的更多信息,请参阅密钥和密钥保管库

要了解有关密钥策略的更多信息,请参阅 AWS 官方文档中的 AWS KMS 中的密钥策略

2
1
2

按照有关 添加用户 的 官方文档,在 管理控制台中创建新的编程 IAM 用户Amazon Web ServicesAmazon Web Services 。您将使用此IAM用户作为启用 CSFLE 的应用程序的服务帐户。 Amazon Web ServicesKMS您的应用程序使用 IAM 用户通过 进行身份验证,通过客户主密钥(集合扫描) 对数据加密密钥 (DEK) 进行加密和解密。

重要

记录凭证

确保在创建 IAM 用户的最后一步记录以下 IAM 凭证:

  • 访问密钥 ID

  • 秘密访问密钥

您有一次机会记录这些凭证。如果在该步骤中没有记录这些凭证,则必须创建另一个 IAM 用户。

3

向您的IAM用户授予远程主密钥的kms:Encryptkms:Decrypt权限。

重要

新的客户端IAM用户不应具有主密钥的管理权限。 为了确保数据安全,请遵循 最小权限原则。

以下内联策略允许 IAM 用户按照最小权限原则使用客户主密钥进行加密和解密:

注意

远程主密钥 ARN

以下策略需要您在本指南的 创建主密钥 步骤中生成的密钥的 ARN 。

{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": ["kms:Decrypt", "kms:Encrypt"],
"Resource": "<the Amazon Resource Name (ARN) of your remote master key>"
}
]
}

要将上述政策应用于 IAM 用户,请遵守 AWS 文档中的添加 IAM 身份权限指南。

重要

在生产环境中使用 IAM 角色进行身份验证

将支持 CSFLE 的应用程序部署到正式上线环境时,使用 IAM 角色而非 IAM 用户对应用程序进行身份验证。

要了解有关 IAM 角色的更多信息,请参阅官方 AWS 文档中的以下页面:

1

encryption.__keyVault 命名空间中的 keyAltNames 字段上创建唯一索引。

选择与所需的 MongoDB 驱动程序对应的标签页:

var connectionString = "<Your MongoDB URI>";
var keyVaultNamespace = CollectionNamespace.FromFullName("encryption.__keyVault");
var keyVaultClient = new MongoClient(connectionString);
var indexOptions = new CreateIndexOptions<BsonDocument>();
indexOptions.Unique = true;
indexOptions.PartialFilterExpression = new BsonDocument { { "keyAltNames", new BsonDocument { { "$exists", new BsonBoolean(true) } } } };
var builder = Builders<BsonDocument>.IndexKeys;
var indexKeysDocument = builder.Ascending("keyAltNames");
var indexModel = new CreateIndexModel<BsonDocument>(indexKeysDocument, indexOptions);
var keyVaultDatabase = keyVaultClient.GetDatabase(keyVaultNamespace.DatabaseNamespace.ToString());
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
keyVaultDatabase.DropCollection(keyVaultNamespace.CollectionName);
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
keyVaultClient.GetDatabase("medicalRecords").DropCollection("patients");
var keyVaultCollection = keyVaultDatabase.GetCollection<BsonDocument>(keyVaultNamespace.CollectionName.ToString());
keyVaultCollection.Indexes.CreateOne(indexModel);
uri := "<Your MongoDB URI>"
keyVaultClient, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri))
if err != nil {
return fmt.Errorf("Connect error for regular client: %v", err)
}
defer func() {
_ = keyVaultClient.Disconnect(context.TODO())
}()
keyVaultColl := "__keyVault"
keyVaultDb := "encryption"
keyVaultNamespace := keyVaultDb + "." + keyVaultColl
keyVaultIndex := mongo.IndexModel{
Keys: bson.D{{"keyAltNames", 1}},
Options: options.Index().
SetUnique(true).
SetPartialFilterExpression(bson.D{
{"keyAltNames", bson.D{
{"$exists", true},
}},
}),
}
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
if err = keyVaultClient.Database(keyVaultDb).Collection(keyVaultColl).Drop(context.TODO()); err != nil {
log.Fatalf("Collection.Drop error: %v", err)
}
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
if err = keyVaultClient.Database("medicalRecords").Collection("patients").Drop(context.TODO()); err != nil {
log.Fatalf("Collection.Drop error: %v", err)
}
_, err = keyVaultClient.Database(keyVaultDb).Collection(keyVaultColl).Indexes().CreateOne(context.TODO(), keyVaultIndex)
if err != nil {
panic(err)
}
String connectionString = "<Your MongoDB URI>";
String keyVaultDb = "encryption";
String keyVaultColl = "__keyVault";
String keyVaultNamespace = keyVaultDb + "." + keyVaultColl;
MongoClient keyVaultClient = MongoClients.create(connectionString);
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
keyVaultClient.getDatabase(keyVaultDb).getCollection(keyVaultColl).drop();
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
keyVaultClient.getDatabase("medicalRecords").getCollection("patients").drop();
MongoCollection keyVaultCollection = keyVaultClient.getDatabase(keyVaultDb).getCollection(keyVaultColl);
IndexOptions indexOpts = new IndexOptions().partialFilterExpression(new BsonDocument("keyAltNames", new BsonDocument("$exists", new BsonBoolean(true) ))).unique(true);
keyVaultCollection.createIndex(new BsonDocument("keyAltNames", new BsonInt32(1)), indexOpts);
keyVaultClient.close();
const uri = "<Your Connection String>";
const keyVaultDatabase = "encryption";
const keyVaultCollection = "__keyVault";
const keyVaultNamespace = `${keyVaultDatabase}.${keyVaultCollection}`;
const keyVaultClient = new MongoClient(uri);
await keyVaultClient.connect();
const keyVaultDB = keyVaultClient.db(keyVaultDatabase);
// Drop the Key Vault Collection in case you created this collection
// in a previous run of this application.
await keyVaultDB.dropDatabase();
// Drop the database storing your encrypted fields as all
// the DEKs encrypting those fields were deleted in the preceding line.
await keyVaultClient.db("medicalRecords").dropDatabase();
const keyVaultColl = keyVaultDB.collection(keyVaultCollection);
await keyVaultColl.createIndex(
{ keyAltNames: 1 },
{
unique: true,
partialFilterExpression: { keyAltNames: { $exists: true } },
}
);
connection_string = "<your connection string here>"
key_vault_coll = "__keyVault"
key_vault_db = "encryption"
key_vault_namespace = f"{key_vault_db}.{key_vault_coll}"
key_vault_client = MongoClient(connection_string)
# Drop the Key Vault Collection in case you created this collection
# in a previous run of this application.
key_vault_client.drop_database(key_vault_db)
# Drop the database storing your encrypted fields as all
# the DEKs encrypting those fields were deleted in the preceding line.
key_vault_client["medicalRecords"].drop_collection("patients")
key_vault_client[key_vault_db][key_vault_coll].create_index(
[("keyAltNames", ASCENDING)],
unique=True,
partialFilterExpression={"keyAltNames": {"$exists": True}},
)
2
1

将服务账户凭证添加到启用 CSFLE 的客户端代码中。

var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "aws";
var awsKmsOptions = new Dictionary<string, object>
{
{ "accessKeyId", "<Your AWS Access Key ID>" },
{ "secretAccessKey", "<Your AWS Secret Access Key>" }
};
kmsProviders.Add(provider, awsKmsOptions);
provider := "aws"
kmsProviders := map[string]map[string]interface{}{
provider: {
"accessKeyId": "<Your AWS Access Key ID>",
"secretAccessKey": "<Your AWS Secret Access Key>",
},
}
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
String kmsProvider = "aws";
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("accessKeyId", new BsonString("<IAM User Access Key ID>"));
providerDetails.put("secretAccessKey", new BsonString("<IAM User Secret Access Key>"));
kmsProviders.put(kmsProvider, providerDetails);

提示

要学习;了解如何提供Amazon Web Services凭证而不是像前面的代码示例一样直接指定这些凭证,请参阅Java MONGODB- Amazon Web Services文档。

const provider = "aws";
const kmsProviders = {
aws: {
accessKeyId: "<Your AWS Access Key ID>",
secretAccessKey: "<Your AWS Secret Access Key>",
},
};
provider = "aws"
kms_providers = {
provider: {
"accessKeyId": "<IAM User Access Key ID>",
"secretAccessKey": "<IAM User Secret Access Key>",
}
}
2

更新以下代码以指定客户主密钥:

提示

您在本指南的 创建客户主密钥 步骤中记录了客户主密钥的 ARN 和地区。

var dataKeyOptions = new DataKeyOptions(
masterKey: new BsonDocument
{
{ "region", "<Your AWS Key Region>" },
{ "key", "<Your AWS Key ARN>" },
});
masterKey := map[string]interface{}{
"key": "<Your AWS Key ARN>",
"region": "<Your AWS Key Region>",
}
masterKeyProperties.put("provider", new BsonString(kmsProvider));
masterKeyProperties.put("key", new BsonString("<Master Key ARN>"));
masterKeyProperties.put("region", new BsonString("<Master Key AWS Region>"));
const masterKey = {
key: "<Your AWS Key ARN>",
region: "<Your AWS Key Region>",
};
master_key = {"region": "<Master Key AWS Region>", "key": "<Master Key ARN>"}
3

使用本教程的步骤 1 中声明的变量,生成数据加密密钥。

var clientEncryptionOptions = new ClientEncryptionOptions(
keyVaultClient: keyVaultClient,
keyVaultNamespace: keyVaultNamespace,
kmsProviders: kmsProviders
);
var clientEncryption = new ClientEncryption(clientEncryptionOptions);
var dataKeyId = clientEncryption.CreateDataKey(provider, dataKeyOptions, CancellationToken.None);
var dataKeyIdBase64 = Convert.ToBase64String(GuidConverter.ToBytes(dataKeyId, GuidRepresentation.Standard));
Console.WriteLine($"DataKeyId [base64]: {dataKeyIdBase64}");
clientEncryptionOpts := options.ClientEncryption().SetKeyVaultNamespace(keyVaultNamespace).
SetKmsProviders(kmsProviders)
clientEnc, err := mongo.NewClientEncryption(keyVaultClient, clientEncryptionOpts)
if err != nil {
return fmt.Errorf("NewClientEncryption error %v", err)
}
defer func() {
_ = clientEnc.Close(context.TODO())
}()
dataKeyOpts := options.DataKey().
SetMasterKey(masterKey)
dataKeyID, err := clientEnc.CreateDataKey(context.TODO(), provider, dataKeyOpts)
if err != nil {
return fmt.Errorf("create data key error %v", err)
}
fmt.Printf("DataKeyId [base64]: %s\n", base64.StdEncoding.EncodeToString(dataKeyID.Data))
ClientEncryptionSettings clientEncryptionSettings = ClientEncryptionSettings.builder()
.keyVaultMongoClientSettings(MongoClientSettings.builder()
.applyConnectionString(new ConnectionString(connectionString))
.build())
.keyVaultNamespace(keyVaultNamespace)
.kmsProviders(kmsProviders)
.build();
MongoClient regularClient = MongoClients.create(connectionString);
ClientEncryption clientEncryption = ClientEncryptions.create(clientEncryptionSettings);
BsonBinary dataKeyId = clientEncryption.createDataKey(kmsProvider, new DataKeyOptions().masterKey(masterKeyProperties));
String base64DataKeyId = Base64.getEncoder().encodeToString(dataKeyId.getData());
System.out.println("DataKeyId [base64]: " + base64DataKeyId);
clientEncryption.close();
const client = new MongoClient(uri, {
useNewUrlParser: true,
useUnifiedTopology: true,
});
await client.connect();
const encryption = new ClientEncryption(client, {
keyVaultNamespace,
kmsProviders,
});
const key = await encryption.createDataKey(provider, {
masterKey: masterKey,
});
console.log("DataKeyId [base64]: ", key.toString("base64"));
await keyVaultClient.close();
await client.close();

注意

导入 ClientEncryption

使用 Node.js 驱动程序 v6.0 及更高版本时,必须从 mongodb 导入 ClientEncryption

对于较早的驱动程序版本,请从 mongodb-client-encryption 导入 ClientEncryption

key_vault_database = "encryption"
key_vault_collection = "__keyVault"
key_vault_namespace = f"{key_vault_database}.{key_vault_collection}"
client = MongoClient(connection_string)
client_encryption = ClientEncryption(
kms_providers, # pass in the kms_providers variable from the previous step
key_vault_namespace,
client,
CodecOptions(uuid_representation=STANDARD),
)
data_key_id = client_encryption.create_data_key(provider, master_key)
base_64_data_key_id = base64.b64encode(data_key_id)
print("DataKeyId [base64]: ", base_64_data_key_id)

提示

了解详情

要查看显示在使用 AWS KMS 时客户端应用程序如何创建数据加密密钥的图表,请参阅架构

要详细了解创建使用 AWS KMS 中托管的客户主密钥加密的数据加密密钥的选项,请参阅 dataKeyOpts 对象

提示

请参阅:完整代码

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

要查看制作数据加密密钥的完整代码,请参阅我们的 Github 存储库

3

提示

在与前面步骤中创建的文件不同的单独文件中,执行本教程中的其余步骤。

要查看该文件的完整代码,请参阅我们的 Github 存储库

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

要查看此文件的完整代码,请参阅 我们的 Github 存储库。

1

指定 encryption.__keyVault 以作为密钥保管库集合命名空间。

var keyVaultNamespace = CollectionNamespace.FromFullName("encryption.__keyVault");
keyVaultNamespace := "encryption.__keyVault"
String keyVaultNamespace = "encryption.__keyVault";
const keyVaultNamespace = "encryption.__keyVault";
key_vault_namespace = "encryption.__keyVault"
2

指定 aws KMS 提供程序和 IAM 用户凭证:

var kmsProviders = new Dictionary<string, IReadOnlyDictionary<string, object>>();
var provider = "aws";
var awsKmsOptions = new Dictionary<string, object>
{
{ "accessKeyId", "<Your AWS Access Key ID>" },
{ "secretAccessKey", "<Your AWS Secret Access Key>" }
};
kmsProviders.Add(provider, awsKmsOptions);
kmsProviders := map[string]map[string]interface{}{
"aws": {
"accessKeyId": "<Your AWS Access Key ID>",
"secretAccessKey": "<Your AWS Secret Access Key>",
},
}
Map<String, Map<String, Object>> kmsProviders = new HashMap<String, Map<String, Object>>();
String kmsProvider = "aws";
Map<String, Object> providerDetails = new HashMap<>();
providerDetails.put("accessKeyId", "<IAM User Access Key ID>");
providerDetails.put("secretAccessKey", "<IAM User Secret Access Key>");
kmsProviders.put(kmsProvider, providerDetails);
const kmsProviders = {
aws: {
accessKeyId: "<Your AWS Access Key ID>",
secretAccessKey: "<Your AWS Secret Access Key>",
},
};
provider = "aws"
kms_providers = {
"aws": {
"accessKeyId": "<IAM User Access Key ID>",
"secretAccessKey": "<IAM User Secret Access Key>",
}
}

重要

提醒:在生产环境中使用 IAM 角色进行身份验证

要使用 IAM 角色而不是 IAM 用户对应用程序进行身份验证,请在 KMS 提供程序对象中为凭证指定一个空对象。这会指示驱动程序自动从环境中检索凭证:

kmsProviders = {
aws: { }
};
kmsProviderCredentials.Add("aws", new Dictionary<string, object>);
kmsProviderCredentials := map[string]map[string]interface{}{
"aws": { },
}
kmsProviderCredentials.put("aws", new HashMap<>());
kmsProviders = {
aws: { }
};
kms_provider_credentials = {
"aws": { }
}
3

提示

添加数据加密密钥 Base64 ID

请务必更新以下代码以包含您的基本64 DEK ID。 您在本指南的“生成数据加密密钥”步骤中收到了该值。

var keyId = "<Your base64 DEK ID here>";
var schema = new BsonDocument
{
{ "bsonType", "object" },
{
"encryptMetadata",
new BsonDocument("keyId", new BsonArray(new[] { new BsonBinaryData(Convert.FromBase64String(keyId), BsonBinarySubType.UuidStandard) }))
},
{
"properties",
new BsonDocument
{
{
"ssn", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "int" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic" }
}
}
}
},
{
"bloodType", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "string" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random" }
}
}
}
},
{
"medicalRecords", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "array" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random" }
}
}
}
},
{
"insurance", new BsonDocument
{
{ "bsonType", "object" },
{
"properties", new BsonDocument
{
{
"policyNumber", new BsonDocument
{
{
"encrypt", new BsonDocument
{
{ "bsonType", "int" },
{ "algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic" }
}
}
}
}
}
}
}
}
}
}
};
var schemaMap = new Dictionary<string, BsonDocument>();
schemaMap.Add(dbNamespace, schema);
dek_id := "<Your Base64 DEK ID>"
schema_template := `{
"bsonType": "object",
"encryptMetadata": {
"keyId": [
{
"$binary": {
"base64": "%s",
"subType": "04"
}
}
]
},
"properties": {
"insurance": {
"bsonType": "object",
"properties": {
"policyNumber": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
},
"medicalRecords": {
"encrypt": {
"bsonType": "array",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"bloodType": {
"encrypt": {
"bsonType": "string",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random"
}
},
"ssn": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"
}
}
}
}`
schema := fmt.Sprintf(schema_template, dek_id)
var schemaDoc bson.Raw
if err := bson.UnmarshalExtJSON([]byte(schema), true, &schemaDoc); err != nil {
return fmt.Errorf("UnmarshalExtJSON error: %v", err)
}
schemaMap := map[string]interface{}{
dbName + "." + collName: schemaDoc,
}
String dekId = "<paste-base-64-encoded-data-encryption-key-id>>";
Document jsonSchema = new Document().append("bsonType", "object").append("encryptMetadata",
new Document().append("keyId", new ArrayList<>((Arrays.asList(new Document().append("$binary", new Document()
.append("base64", dekId)
.append("subType", "04")))))))
.append("properties", new Document()
.append("ssn", new Document().append("encrypt", new Document()
.append("bsonType", "int")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic")))
.append("bloodType", new Document().append("encrypt", new Document()
.append("bsonType", "string")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random")))
.append("medicalRecords", new Document().append("encrypt", new Document()
.append("bsonType", "array")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Random")))
.append("insurance", new Document()
.append("bsonType", "object")
.append("properties",
new Document().append("policyNumber", new Document().append("encrypt", new Document()
.append("bsonType", "int")
.append("algorithm", "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic"))))));
HashMap<String, BsonDocument> schemaMap = new HashMap<String, BsonDocument>();
schemaMap.put("medicalRecords.patients", BsonDocument.parse(jsonSchema.toJson()));
dataKey = "<Your base64 DEK ID>";
const schema = {
bsonType: "object",
encryptMetadata: {
keyId: [new Binary(Buffer.from(dataKey, "base64"), 4)],
},
properties: {
insurance: {
bsonType: "object",
properties: {
policyNumber: {
encrypt: {
bsonType: "int",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
},
},
},
},
medicalRecords: {
encrypt: {
bsonType: "array",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
},
},
bloodType: {
encrypt: {
bsonType: "string",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
},
},
ssn: {
encrypt: {
bsonType: "int",
algorithm: "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
},
},
},
};
var patientSchema = {};
patientSchema[namespace] = schema;
dek_id = b"<paste-base-64-encoded-data-encryption-key-id>"
json_schema = {
"bsonType": "object",
"encryptMetadata": {"keyId": [Binary(base64.b64decode(dek_id), UUID_SUBTYPE)]},
"properties": {
"insurance": {
"bsonType": "object",
"properties": {
"policyNumber": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
}
}
},
},
"medicalRecords": {
"encrypt": {
"bsonType": "array",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
}
},
"bloodType": {
"encrypt": {
"bsonType": "string",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Random",
}
},
"ssn": {
"encrypt": {
"bsonType": "int",
"algorithm": "AEAD_AES_256_CBC_HMAC_SHA_512-Deterministic",
}
},
},
}
patient_schema = {"medicalRecords.patients": json_schema}
4
var mongoBinariesPath = "<Full path to your Automatic Encryption Shared Library>";
var extraOptions = new Dictionary<string, object>()
{
{ "cryptSharedLibPath", mongoBinariesPath },
};
extraOptions := map[string]interface{}{
"cryptSharedLibPath": "<Full path to your Automatic Encryption Shared Library>",
}
Map<String, Object> extraOptions = new HashMap<String, Object>();
extraOptions.put("cryptSharedLibPath", "<Full path to your Automatic Encryption Shared Library>"));
const extraOptions = {
cryptSharedLibPath: "<Full path to your Automatic Encryption Shared Library>",
};
extra_options = {
"cryptSharedLibPath": "<Full path to your Automatic Encryption Shared Library>"
}

注意

自动加密选项

自动加密选项向自动加密共享库提供配置信息,这将修改应用程序在访问加密字段时的行为。

要了解有关自动加密共享库的更多信息,请参阅 CSFLE 的自动加密共享库页面。

5

使用以下自动加密设置实例化 MongoDB 客户端对象,这些设置使用前面步骤中声明的变量:

var clientSettings = MongoClientSettings.FromConnectionString(connectionString);
var autoEncryptionOptions = new AutoEncryptionOptions(
keyVaultNamespace: keyVaultNamespace,
kmsProviders: kmsProviders,
schemaMap: schemaMap,
extraOptions: extraOptions
);
clientSettings.AutoEncryptionOptions = autoEncryptionOptions;
var secureClient = new MongoClient(clientSettings);
autoEncryptionOpts := options.AutoEncryption().
SetKmsProviders(kmsProviders).
SetKeyVaultNamespace(keyVaultNamespace).
SetSchemaMap(schemaMap).
SetExtraOptions(extraOptions)
secureClient, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri).SetAutoEncryptionOptions(autoEncryptionOpts))
if err != nil {
return fmt.Errorf("Connect error for encrypted client: %v", err)
}
defer func() {
_ = secureClient.Disconnect(context.TODO())
}()
MongoClientSettings clientSettings = MongoClientSettings.builder()
.applyConnectionString(new ConnectionString(connectionString))
.autoEncryptionSettings(AutoEncryptionSettings.builder()
.keyVaultNamespace(keyVaultNamespace)
.kmsProviders(kmsProviders)
.schemaMap(schemaMap)
.extraOptions(extraOptions)
.build())
.build();
MongoClient mongoClientSecure = MongoClients.create(clientSettings);
const secureClient = new MongoClient(connectionString, {
useNewUrlParser: true,
useUnifiedTopology: true,
autoEncryption: {
keyVaultNamespace,
kmsProviders,
schemaMap: patientSchema,
extraOptions: extraOptions,
},
});
fle_opts = AutoEncryptionOpts(
kms_providers, key_vault_namespace, schema_map=patient_schema, **extra_options
)
secureClient = MongoClient(connection_string, auto_encryption_opts=fle_opts)
4

使用启用了 CSFLE 的 MongoClient 实例,通过以下代码片段将具有加密字段的文档插入到 medicalRecords.patients 命名空间中:

var sampleDocFields = new BsonDocument
{
{ "name", "Jon Doe" },
{ "ssn", 145014000 },
{ "bloodType", "AB-" },
{
"medicalRecords", new BsonArray
{
new BsonDocument("weight", 180),
new BsonDocument("bloodPressure", "120/80")
}
},
{
"insurance", new BsonDocument
{
{ "policyNumber", 123142 },
{ "provider", "MaestCare" }
}
}
};
// Construct an auto-encrypting client
var secureCollection = secureClient.GetDatabase(db).GetCollection<BsonDocument>(coll);
// Insert a document into the collection
secureCollection.InsertOne(sampleDocFields);
test_patient := map[string]interface{}{
"name": "Jon Doe",
"ssn": 241014209,
"bloodType": "AB+",
"medicalRecords": []map[string]interface{}{{
"weight": 180,
"bloodPressure": "120/80",
}},
"insurance": map[string]interface{}{
"provider": "MaestCare",
"policyNumber": 123142,
},
}
if _, err := secureClient.Database(dbName).Collection(collName).InsertOne(context.TODO(), test_patient); err != nil {
return fmt.Errorf("InsertOne error: %v", err)
}

注意

您可以将带有bson标签的结构体直接传递给驱动程序进行编码,而无需创建原始 BSON 文档。

ArrayList<Document> medicalRecords = new ArrayList<>();
medicalRecords.add(new Document().append("weight", "180"));
medicalRecords.add(new Document().append("bloodPressure", "120/80"));
Document insurance = new Document()
.append("policyNumber", 123142)
.append("provider", "MaestCare");
Document patient = new Document()
.append("name", "Jon Doe")
.append("ssn", 241014209)
.append("bloodType", "AB+")
.append("medicalRecords", medicalRecords)
.append("insurance", insurance);
mongoClientSecure.getDatabase(recordsDb).getCollection(recordsColl).insertOne(patient);
try {
const writeResult = await secureClient
.db(db)
.collection(coll)
.insertOne({
name: "Jon Doe",
ssn: 241014209,
bloodType: "AB+",
medicalRecords: [{ weight: 180, bloodPressure: "120/80" }],
insurance: {
policyNumber: 123142,
provider: "MaestCare",
},
});
} catch (writeError) {
console.error("writeError occurred:", writeError);
}
def insert_patient(
collection, name, ssn, blood_type, medical_records, policy_number, provider
):
insurance = {"policyNumber": policy_number, "provider": provider}
doc = {
"name": name,
"ssn": ssn,
"bloodType": blood_type,
"medicalRecords": medical_records,
"insurance": insurance,
}
collection.insert_one(doc)
medical_record = [{"weight": 180, "bloodPressure": "120/80"}]
insert_patient(
secureClient.medicalRecords.patients,
"Jon Doe",
241014209,
"AB+",
medical_record,
123142,
"MaestCare",
)

在您插入文档时,启用了 CSFLE 的客户端对文档字段进行加密,以使其类似于以下内容:

{
"_id": { "$oid": "<_id of your document>" },
"name": "Jon Doe",
"ssn": {
"$binary": "<cipher-text>",
"$type": "6"
},
"bloodType": {
"$binary": "<cipher-text>",
"$type": "6"
},
"medicalRecords": {
"$binary": "<cipher-text>",
"$type": "6"
},
"insurance": {
"provider": "MaestCare",
"policyNumber": {
"$binary": "<cipher-text>",
"$type": "6"
}
}
}

提示

请参阅:完整代码

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看用于插入带加密字段的文档的完整代码,请访问我们的 Github 存储库

5

检索您在本指南的插入具有加密字段的文档步骤中插入的具有加密字段的文档。

为了显示 CSFLE 的功能,以下代码片段使用配置为自动 CSFLE 的客户端以及未配置为自动 CSFLE 的客户端来查询文档。

Console.WriteLine("Finding a document with regular (non-encrypted) client.");
var filter = Builders<BsonDocument>.Filter.Eq("name", "Jon Doe");
var regularResult = regularCollection.Find(filter).Limit(1).ToList()[0];
Console.WriteLine($"\n{regularResult}\n");
Console.WriteLine("Finding a document with encrypted client, searching on an encrypted field");
var ssnFilter = Builders<BsonDocument>.Filter.Eq("ssn", 145014000);
var secureResult = secureCollection.Find(ssnFilter).Limit(1).First();
Console.WriteLine($"\n{secureResult}\n");
fmt.Println("Finding a document with regular (non-encrypted) client.")
var resultRegular bson.M
err = regularClient.Database(dbName).Collection(collName).FindOne(context.TODO(), bson.D{{"name", "Jon Doe"}}).Decode(&resultRegular)
if err != nil {
panic(err)
}
outputRegular, err := json.MarshalIndent(resultRegular, "", " ")
if err != nil {
panic(err)
}
fmt.Printf("%s\n", outputRegular)
fmt.Println("Finding a document with encrypted client, searching on an encrypted field")
var resultSecure bson.M
err = secureClient.Database(dbName).Collection(collName).FindOne(context.TODO(), bson.D{{"ssn", "241014209"}}).Decode(&resultSecure)
if err != nil {
panic(err)
}
outputSecure, err := json.MarshalIndent(resultSecure, "", " ")
if err != nil {
panic(err)
}
fmt.Printf("%s\n", outputSecure)
System.out.println("Finding a document with regular (non-encrypted) client.");
Document docRegular = mongoClientRegular.getDatabase(recordsDb).getCollection(recordsColl).find(eq("name", "Jon Doe")).first();
System.out.println(docRegular.toJson());
System.out.println("Finding a document with encrypted client, searching on an encrypted field");
Document docSecure = mongoClientSecure.getDatabase(recordsDb).getCollection(recordsColl).find(eq("ssn", 241014209)).first();
System.out.println(docSecure.toJson());
console.log("Finding a document with regular (non-encrypted) client.");
console.log(
await regularClient.db(db).collection(coll).findOne({ name: /Jon/ })
);
console.log(
"Finding a document with encrypted client, searching on an encrypted field"
);
console.log(
await secureClient.db(db).collection(coll).findOne({ ssn: "241014209" })
);
print("Finding a document with regular (non-encrypted) client.")
result = regularClient.medicalRecords.patients.find_one({"name": "Jon Doe"})
pprint.pprint(result)
print("Finding a document with encrypted client, searching on an encrypted field")
pprint.pprint(secureClient.medicalRecords.patients.find_one({"ssn": 241014209}))

上述代码片段的输出应如下所示:

Finding a document with regular (non-encrypted) client.
{
_id: new ObjectId("629a452e0861b3130887103a"),
name: 'Jon Doe',
ssn: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e7910c20697e5f4fa95710aafc9153f0a3dc769c8a132a604b468732ff1f4d8349ded3244b59cbfb41444a210f28b21ea1b6c737508d9d30e8baa30c1d8070c4d5e26", "hex"), 6),
bloodType: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e79022e238536dfd8caadb4d7751ac940e0f195addd7e5c67b61022d02faa90283ab69e02303c7e4001d1996128428bf037dea8bbf59fbb20c583cbcff2bf3e2519b4", "hex"), 6),
'key-id': 'demo-data-key',
medicalRecords: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e790405163a3207cff175455106f57eef14e5610c49a99bcbd14a7db9c5284e45e3ee30c149354015f941440bf54725d6492fb3b8704bc7c411cff6c868e4e13c58233c3d5ed9593eca4e4d027d76d3705b6d1f3b3c9e2ceee195fd944b553eb27eee69e5e67c338f146f8445995664980bf0", "hex"), 6),
insurance: {
policyNumber: new Binary(Buffer.from("0217482732d8014cdd9ffdd6e2966e5e79108decd85c05be3fec099e015f9d26d9234605dc959cc1a19b63072f7ffda99db38c7b487de0572a03b2139ac3ee163bcc40c8508f366ce92a5dd36e38b3c742f7", "hex"), 6),
provider: 'MaestCare'
}
}
Finding a document with encrypted client, searching on an encrypted field
{
_id: new ObjectId("629a452e0861b3130887103a"),
name: 'Jon Doe',
ssn: 241014209,
bloodType: 'AB+',
'key-id': 'demo-data-key',
medicalRecords: [ { weight: 180, bloodPressure: '120/80' } ],
insurance: { policyNumber: 123142, provider: 'MaestCare' }
}

提示

请参阅:完整代码

要查看查找带有加密字段的文档的完整代码,请参阅我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

要查看查找带有加密字段的文档的完整代码,请访问我们的 Github 存储库

如需了解 CSFLE 的工作原理,请参阅基础知识

如需详细了解本指南中提到的主题,请参阅以下链接:

后退

Tutorials