中国联通 CBSS 3.0 系统用户数据 RSA4096 全链路加密方案

# HSM内部密钥生成伪代码
def generate_rsa4096_keypair():
    # 硬件随机数生成
    random_seed = hsm_random_generator()
    # RSA密钥对生成
    private_key = generate_rsa_key(random_seed, 4096)
    public_key = extract_public_key(private_key)
    # 密钥质量验证
    if validate_key_strength(private_key):
        return key_pair
    else:
        raise KeyGenerationError

# 密钥存储安全配置示例
key_storage:
  hsm_cluster:
    primary: "hsm-beijing-01, hsm-beijing-02"
    backup: "hsm-xian-01, hsm-xian-02"
    heartbeat_interval: "1s"
    failover_timeout: "50ms"
  
  backup_policy:
    full_backup: "daily@02:00"
    incremental_backup: "every 15min"
    retention_period: "180days"
    encryption: "AES-256-GCM"
  
  access_control:
    multi_person_approval: true
    minimum_approvers: 2
    audit_logging: "all_operations"

{
  "timestamp": "2025-01-20T10:30:00Z",
  "operation": "key_distribution",
  "key_id": "k_rsa4096_2025012001",
  "source": "hsm-beijing-01",
  "destination": "cbss-app-node-042",
  "channel_security": "TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384",
  "distributor": "admin_zhang",
  "approvers": ["admin_li", "admin_wang"],
  "status": "completed",
  "confirmation_hash": "sha256:a1b2c3d4e5f6..."
}

// 微服务密钥使用示例
public class EncryptionService {
    private HsmClient hsmClient;
    private String keyId;
    
    public byte[] encryptData(byte[] plaintext) {
        // 公钥加密可在应用层执行
        return rsaEncrypt(plaintext, getPublicKey(keyId));
    }
    
    public byte[] decryptData(byte[] ciphertext) {
        // 私钥解密必须在HSM内完成
        HsmDecryptRequest request = HsmDecryptRequest.builder()
            .keyId(keyId)
            .ciphertext(ciphertext)
            .build();
        return hsmClient.decrypt(request);
    }
}

key_usage_monitoring:
  normal_baseline:
    max_operations_per_second: 1000
    working_hours: "06:00-22:00"
    allowed_source_networks: ["192.168.0.0/16", "10.0.0.0/8"]
  
  alert_rules:
    - metric: "decrypt_failure_rate"
      threshold: "5%"
      duration: "5min"
      severity: "high"
    
    - metric: "off_hours_usage"
      threshold: "50%_increase"
      severity: "medium"
    
    - metric: "geographic_anomaly"
      detection: "new_country_access"
      severity: "critical"

class KeyRotationManager:
    def __init__(self, key_store):
        self.key_store = key_store
        self.current_version = "v2025Q1"
        self.next_version = "v2025Q2"
    
    def prepare_new_key(self):
        """准备新版本密钥"""
        new_key = generate_rsa4096_keypair()
        self.key_store.add_version(self.next_version, new_key)
        # 数据重加密后台任务
        start_reencryption_job(self.current_version, self.next_version)
    
    def execute_rotation(self):
        """执行密钥轮换"""
        if reencryption_completed():
            self.key_store.set_active_version(self.next_version)
            self.archive_old_key(self.current_version)
            self.current_version, self.next_version = self.next_version, "v2025Q3"
    
    def decrypt_with_version(self, ciphertext, key_version=None):
        """支持多版本解密的透明处理"""
        version = key_version or self.detect_key_version(ciphertext)
        return self.key_store.decrypt(version, ciphertext)

backup_encryption:
  algorithm: "AES-256-GCM"
  key_derivation: "PBKDF2WithHmacSHA256"
  iteration_count: 100000
  salt_length: 128
  
backup_validation:
  pre_backup: "checksum_verification"
  during_backup: "stream_validation"
  post_backup: "restore_test_sample"
  frequency: "daily"

def disaster_recovery_validation():
    # 1. 备份完整性验证
    if not verify_backup_integrity():
        raise RecoveryValidationError("备份完整性校验失败")
    
    # 2. 密钥恢复测试
    test_key = restore_key_from_backup("test_key_id")
    if not test_encryption_decryption(test_key):
        raise RecoveryValidationError("密钥功能测试失败")
    
    # 3. 业务连续性验证
    if not simulate_business_workflow():
        raise RecoveryValidationError("业务流程验证失败")
    
    logger.info("灾难恢复验证通过")

{
  "destruction_id": "dest_20250120001",
  "key_id": "k_rsa4096_2024012001",
  "destruction_time": "2025-01-20T14:00:00Z",
  "destruction_reason": "normal_rotation",
  "performed_by": ["admin_zhang", "admin_li"],
  "witnesses": ["auditor_wang"],
  "verification_hash": "sha256:deadbeef...",
  "audit_trail": "完整操作日志哈希"
}

# 生成RSA4096根证书私钥
openssl genrsa -out mysql-ca.key 4096

# 创建根证书（有效期10年）
openssl req -new -x509 -days 3650 -key mysql-ca.key -out mysql-ca.crt

# 为每个MySQL节点生成服务器证书
openssl genrsa -out mysql-server.key 4096
openssl req -new -key mysql-server.key -out mysql-server.csr
openssl x509 -req -in mysql-server.csr -CA mysql-ca.crt -CAkey mysql-ca.key -CAcreateserial -out mysql-server.crt -days 825

[mysqld]
# SSL/TLS基础配置
ssl-ca = /etc/mysql/ssl/mysql-ca.crt
ssl-cert = /etc/mysql/ssl/mysql-server.crt
ssl-key = /etc/mysql/ssl/mysql-server.key
require_secure_transport = ON

# 密码套件优化（优先TLS 1.3）
tls_version = "TLSv1.2,TLSv1.3"
ssl_cipher = "TLS_AES_256_GCM_SHA384:TLS_CHACHA20_POLY1305_SHA256:TLS_AES_128_GCM_SHA256"

# 会话复用优化
ssl_session_cache_size = 1000000
ssl_session_timeout = 300

-- 创建密钥管理专用表
CREATE TABLE encryption_keys (
    key_id INT AUTO_INCREMENT PRIMARY KEY,
    key_name VARCHAR(100) NOT NULL UNIQUE,
    key_version INT DEFAULT 1,
    public_key TEXT NOT NULL,
    key_status ENUM('ACTIVE', 'INACTIVE', 'EXPIRED') DEFAULT 'ACTIVE',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    activated_at TIMESTAMP NULL,
    expired_at TIMESTAMP NULL,
    key_usage_count BIGINT DEFAULT 0
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

-- 密钥访问审计表
CREATE TABLE key_access_audit (
    audit_id BIGINT AUTO_INCREMENT PRIMARY KEY,
    key_id INT NOT NULL,
    access_type ENUM('ENCRYPT', 'DECRYPT'),
    access_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    source_ip VARCHAR(45),
    user_identity VARCHAR(100),
    access_result ENUM('SUCCESS', 'FAILURE'),
    error_message TEXT
);

-- 用户敏感信息加密表示例
CREATE TABLE user_encrypted_data (
    user_id BIGINT PRIMARY KEY,
    identity_card_encrypted VARBINARY(512) COMMENT '身份证号RSA4096加密',
    phone_number_encrypted VARBINARY(512) COMMENT '手机号加密',
    email_encrypted VARBINARY(512) COMMENT '邮箱加密',
    create_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    key_version INT NOT NULL COMMENT '加密密钥版本',
    INDEX idx_key_version (key_version)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

-- 加密数据插入示例
INSERT INTO user_encrypted_data 
(user_id, identity_card_encrypted, phone_number_encrypted, email_encrypted, key_version)
VALUES 
(100001, 
 RSA_ENCRYPT('110101199001011234', (SELECT public_key FROM encryption_keys WHERE key_name = 'user_data_2024')),
 RSA_ENCRYPT('13800138000', (SELECT public_key FROM encryption_keys WHERE key_name = 'user_data_2024')),
 RSA_ENCRYPT('user@example.com', (SELECT public_key FROM encryption_keys WHERE key_name = 'user_data_2024')),
 1);

[mysqld]
# Group Replication SSL配置
group_replication_ssl_mode = REQUIRED
group_replication_recovery_use_ssl = 1
group_replication_recovery_ssl_ca = /etc/mysql/ssl/mysql-ca.crt
group_replication_recovery_ssl_cert = /etc/mysql/ssl/mysql-server.crt
group_replication_recovery_ssl_key = /etc/mysql/ssl/mysql-server.key

# 数据同步加密
group_replication_ip_whitelist = "192.168.100.0/24,192.168.101.0/24"
group_replication_group_seeds = "node1:33061,node2:33061,node3:33061"

-- 定期验证集群节点间加密数据一致性
DELIMITER //
CREATE PROCEDURE verify_encryption_consistency()
BEGIN
    DECLARE node_count INT;
    DECLARE consistent_count INT;
    
    -- 检查各节点加密数据记录数
    SELECT COUNT(DISTINCT record_count) INTO node_count
    FROM (
        SELECT node_id, COUNT(*) as record_count 
        FROM user_encrypted_data 
        GROUP BY node_id
    ) t;
    
    -- 验证密钥状态一致性
    SELECT COUNT(*) INTO consistent_count
    FROM (
        SELECT key_name, key_status
        FROM encryption_keys
        GROUP BY key_name, key_status
        HAVING COUNT(*) = (SELECT COUNT(*) FROM information_schema.GLOBAL_STATUS WHERE VARIABLE_NAME = 'group_replication_primary_member')
    ) t;
    
    IF node_count > 1 OR consistent_count < 1 THEN
        INSERT INTO cluster_consistency_alert (alert_type, alert_message, alert_time)
        VALUES ('ENCRYPTION_CONSISTENCY', '加密数据一致性校验失败', NOW());
    END IF;
END//
DELIMITER ;

[mysqld]
# 连接池优化
max_connections = 2000
thread_cache_size = 100
back_log = 500

# 加密会话缓存
ssl_session_cache_size = 1000000
ssl_session_timeout = 300

# 查询缓存优化（MySQL 8.0+）
query_cache_type = 0

-- 创建加密性能监控表
CREATE TABLE encryption_performance_metrics (
    metric_id BIGINT AUTO_INCREMENT PRIMARY KEY,
    metric_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    operation_type ENUM('ENCRYPT', 'DECRYPT'),
    key_size INT,
    data_size INT,
    processing_time_ms INT,
    success_count INT,
    error_count INT,
    avg_processing_time DECIMAL(10,3)
);

-- 性能趋势分析视图
CREATE VIEW encryption_performance_trend AS
SELECT 
    DATE(metric_time) as metric_date,
    operation_type,
    key_size,
    AVG(processing_time_ms) as avg_time,
    MAX(processing_time_ms) as max_time,
    COUNT(*) as operation_count
FROM encryption_performance_metrics
WHERE metric_time >= DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY DATE(metric_time), operation_type, key_size;

DELIMITER //
CREATE PROCEDURE rotate_encryption_keys(
    IN old_key_name VARCHAR(100),
    IN new_key_name VARCHAR(100),
    IN batch_size INT
)
BEGIN
    DECLARE finished INT DEFAULT 0;
    DECLARE start_id BIGINT DEFAULT 0;
    DECLARE max_id BIGINT;
    DECLARE affected_rows INT;
    
    -- 获取最大用户ID
    SELECT MAX(user_id) INTO max_id FROM user_encrypted_data;
    
    WHILE start_id <= max_id DO
        -- 批量重加密数据
        UPDATE user_encrypted_data 
        SET identity_card_encrypted = RSA_ENCRYPT(
                RSA_DECRYPT(identity_card_encrypted, 
                    (SELECT private_key FROM encryption_keys WHERE key_name = old_key_name)),
                (SELECT public_key FROM encryption_keys WHERE key_name = new_key_name)),
            phone_number_encrypted = RSA_ENCRYPT(
                RSA_DECRYPT(phone_number_encrypted, 
                    (SELECT private_key FROM encryption_keys WHERE key_name = old_key_name)),
                (SELECT public_key FROM encryption_keys WHERE key_name = new_key_name)),
            key_version = (SELECT key_version FROM encryption_keys WHERE key_name = new_key_name),
            update_time = NOW()
        WHERE user_id BETWEEN start_id AND start_id + batch_size - 1;
        
        SET affected_rows = ROW_COUNT();
        SET start_id = start_id + batch_size;
        
        -- 记录轮换进度
        INSERT INTO key_rotation_log (old_key_name, new_key_name, batch_start, batch_end, affected_rows)
        VALUES (old_key_name, new_key_name, start_id - batch_size, start_id - 1, affected_rows);
        
        -- 短暂休眠避免集群压力
        DO SLEEP(0.1);
    END WHILE;
    
    -- 标记旧密钥为失效
    UPDATE encryption_keys SET key_status = 'EXPIRED', expired_at = NOW() 
    WHERE key_name = old_key_name;
    
END//
DELIMITER ;

#!/bin/bash
# MySQL加密备份脚本

BACKUP_DIR="/backup/mysql"
ENCRYPTION_KEY="/etc/mysql/backup_key.pub"
DATE=$(date +%Y%m%d_%H%M%S)

# 使用RSA4096加密备份文件
mysqldump --single-transaction --all-databases | \
openssl smime -encrypt -aes256 -binary -outform DER ${ENCRYPTION_KEY} > \
${BACKUP_DIR}/backup_${DATE}.sql.enc

# 验证备份完整性
openssl smime -decrypt -in ${BACKUP_DIR}/backup_${DATE}.sql.enc \
 -recip /etc/mysql/backup_cert.crt -inkey /etc/mysql/backup_key.pem | \
 tail -10 > ${BACKUP_DIR}/backup_${DATE}.verify

# 记录备份操作
mysql -e "INSERT INTO backup_audit (backup_time, backup_size, encryption_key_id, status) VALUES (NOW(), $(stat -c%s ${BACKUP_DIR}/backup_${DATE}.sql.enc), 'backup_2024', 'SUCCESS')"

-- 主备数据中心加密数据同步验证
CREATE TABLE cross_dc_sync_audit (
    sync_id BIGINT AUTO_INCREMENT PRIMARY KEY,
    sync_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    source_dc VARCHAR(50),
    target_dc VARCHAR(50),
    table_name VARCHAR(100),
    sync_record_count INT,
    encryption_consistent BOOLEAN,
    sync_duration_ms INT,
    sync_status ENUM('SUCCESS', 'PARTIAL', 'FAILED')
);

-- 数据加密一致性检查函数
DELIMITER //
CREATE FUNCTION check_encryption_consistency(dc1 VARCHAR(50), dc2 VARCHAR(50)) 
RETURNS BOOLEAN
READS SQL DATA
DETERMINISTIC
BEGIN
    DECLARE consistent BOOLEAN DEFAULT TRUE;
    
    -- 对比加密数据哈希值
    SELECT COUNT(*) = 0 INTO consistent
    FROM (
        SELECT user_id, SHA2(identity_card_encrypted, 256) as hash_dc1
        FROM user_encrypted_data WHERE dc_location = dc1
    ) t1
    FULL OUTER JOIN (
        SELECT user_id, SHA2(identity_card_encrypted, 256) as hash_dc2
        FROM user_encrypted_data WHERE dc_location = dc2
    ) t2 USING (user_id)
    WHERE t1.hash_dc1 != t2.hash_dc2 OR t1.user_id IS NULL OR t2.user_id IS NULL;
    
    RETURN consistent;
END//
DELIMITER ;

# 生成Redis集群专用根证书
openssl genrsa -out redis-ca.key 4096
openssl req -new -x509 -days 3650 -key redis-ca.key -out redis-ca.crt

# 为每个节点生成服务器证书
openssl genrsa -out redis-node1.key 4096
openssl req -new -key redis-node1.key -out redis-node1.csr
openssl x509 -req -in redis-node1.csr -CA redis-ca.crt -CAkey redis-ca.key -CAcreateserial -out redis-node1.crt -days 3650

# 基础TLS配置
tls-port 6379
tls-cert-file /etc/redis/certs/redis-node1.crt
tls-key-file /etc/redis/certs/redis-node1.key
tls-ca-cert-file /etc/redis/certs/redis-ca.crt

# 集群TLS配置
cluster-enabled yes
tls-cluster yes
tls-replication yes
tls-auth-clients optional

# 性能优化配置
tls-session-caching yes
tls-session-cache-size 5000000
tls-session-cache-timeout 300

# 验证集群节点TLS连接
redis-cli --tls --cert node1.crt --key node1.key --cacert ca.crt -h redis-node1 -p 6379 cluster nodes

# 检查SSL状态
127.0.0.1:6379> INFO TLS
# TLS
tls_enabled:yes
tls_current_cipher:TLS_AES_256_GCM_SHA384
tls_protocol:TLSv1.3

from cryptography.hazmat.primitives.asymmetric import rsa, padding
from cryptography.hazmat.primitives import serialization, hashes
import redis

class EncryptedRedisClient:
    def __init__(self, redis_config, public_key_path, private_key_path):
        self.redis = redis.Redis(**redis_config)
        
        # 加载RSA4096密钥对
        with open(public_key_path, 'rb') as f:
            self.public_key = serialization.load_pem_public_key(f.read())
        with open(private_key_path, 'rb') as f:
            self.private_key = serialization.load_pem_private_key(f.read(), password=None)
    
    def encrypt_value(self, plaintext):
        """使用RSA4096加密数据"""
        if isinstance(plaintext, str):
            plaintext = plaintext.encode('utf-8')
        
        encrypted = self.public_key.encrypt(
            plaintext,
            padding.OAEP(
                mgf=padding.MGF1(algorithm=hashes.SHA256()),
                algorithm=hashes.SHA256(),
                label=None
            )
        )
        return encrypted
    
    def decrypt_value(self, encrypted_data):
        """使用RSA4096解密数据"""
        decrypted = self.private_key.decrypt(
            encrypted_data,
            padding.OAEP(
                mgf=padding.MGF1(algorithm=hashes.SHA256()),
                algorithm=hashes.SHA256(),
                label=None
            )
        )
        return decrypted.decode('utf-8')
    
    def set_encrypted(self, key, value):
        """存储加密数据"""
        encrypted_value = self.encrypt_value(value)
        return self.redis.set(key, encrypted_value)
    
    def get_encrypted(self, key):
        """获取并解密数据"""
        encrypted_value = self.redis.get(key)
        if encrypted_value:
            return self.decrypt_value(encrypted_value)
        return None

import os
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes

class HybridEncryptionClient:
    def hybrid_encrypt(self, plaintext):
        # 生成随机AES密钥
        aes_key = os.urandom(32)
        iv = os.urandom(16)
        
        # AES加密数据
        cipher = Cipher(algorithms.AES(aes_key), modes.CBC(iv))
        encryptor = cipher.encryptor()
        encrypted_data = encryptor.update(plaintext) + encryptor.finalize()
        
        # RSA加密AES密钥
        encrypted_key = self.public_key.encrypt(aes_key, padding.OAEP(...))
        
        return iv + encrypted_key + encrypted_data

class ShardedDEKManager:
    def __init__(self, redis_cluster_nodes):
        self.dek_map = {}  # slot_range -> DEK_version
        self.redis_nodes = redis_cluster_nodes
    
    def get_dek_for_slot(self, key):
        """根据key的哈希槽获取对应的DEK"""
        slot = self.calculate_slot(key)
        slot_range = self.find_slot_range(slot)
        
        if slot_range not in self.dek_map:
            # 生成新的DEK并加密存储
            new_dek = os.urandom(32)  # AES-256密钥
            encrypted_dek = self.encrypt_with_kek(new_dek)
            self.store_encrypted_dek(slot_range, encrypted_dek)
            self.dek_map[slot_range] = {
                'version': datetime.now().isoformat(),
                'dek': new_dek
            }
        
        return self.dek_map[slot_range]

# 加密感知的连接池配置
pool = redis.ConnectionPool(
    host='redis-cluster',
    port=6379,
    ssl=True,
    ssl_certfile='client.crt',
    ssl_keyfile='client.key',
    ssl_ca_certs='ca.crt',
    max_connections=50,
    socket_connect_timeout=5,
    socket_timeout=10,
    retry_on_timeout=True
)

# 管道批量加密操作
def batch_encrypted_ops(operations):
    pipe = redis_client.pipeline()
    for key, plaintext in operations:
        encrypted_value = encrypt_value(plaintext)
        pipe.set(key, encrypted_value)
    return pipe.execute()

# Redis配置启用QAT加速
qat-enabled yes
qat-device /dev/qat_dev0
qat-async-mode yes
qat-max-async-requests 10000

# redis.conf ACL配置
aclfile /etc/redis/redis_acls.conf
tls-auth-clients yes

# ACL规则文件
user admin on nopass ~* &* +@all
user app_user on nopass ~app:* &* +@set +@get +@hset +@hget -@admin
user monitor on nopass ~metrics:* &* +@read +@slow +@pubsub -@write

# 重命名危险命令
rename-command FLUSHDB "REDACTED_FLUSHDB"
rename-command FLUSHALL "REDACTED_FLUSHALL"
rename-command CONFIG "REDACTED_CONFIG"

# 完全禁用高风险命令
rename-command DEBUG ""
rename-command SHUTDOWN ""

# 主从复制加密配置
tls-replication yes
replica-announce-ip <encrypted_ip>
replica-announce-port <encrypted_port>

# 增量同步加密验证
repl-diskless-sync yes
repl-diskless-sync-delay 5

class EncryptedFailoverHandler:
    def handle_failover(self, failed_node, promoted_node):
        # 迁移加密上下文到新主节点
        encryption_context = self.get_encryption_context(failed_node)
        self.transfer_encryption_context(promoted_node, encryption_context)
        
        # 更新客户端路由信息
        self.update_client_routing(failed_node, promoted_node)
        
        # 记录安全事件
        self.log_security_event('failover', failed_node, promoted_node)

# 加密监控数据收集
def collect_encryption_metrics():
    metrics = {
        'rsa_operations_per_sec': get_rsa_ops_rate(),
        'tls_handshake_duration': get_tls_handshake_time(),
        'decryption_failure_rate': get_decryption_failure_rate(),
        'key_rotation_status': get_key_rotation_status()
    }
    
    # 发送到监控系统
    send_to_prometheus(metrics)
    
    # 触发告警检查
    check_encryption_alerts(metrics)

class KeyCompromiseResponse:
    def handle_key_compromise(self, compromised_key_id):
        # 立即隔离受影响节点
        self.isolate_compromised_nodes(compromised_key_id)
        
        # 紧急密钥轮换
        new_key_id = self.emergency_key_rotation(compromised_key_id)
        
        # 数据重加密
        self.reencrypt_affected_data(compromised_key_id, new_key_id)
        
        # 安全审计追溯
        self.audit_key_usage(compromised_key_id)

# 虚拟服务器配置
ltm virtual /Common/cbss_ssl_vip {
    destination /Common/192.168.100.100:443
    ip-protocol tcp
    mask 255.255.255.255
    pool /Common/cbss_ssl_pool
    profiles {
        /Common/tcp { }
        /Common/client-ssl {
            cert-key-chain {
                cbss_chain {
                    cert /Common/cbss_server.crt
                    key /Common/cbss_server.key
                    chain /Common/ca_bundle.crt
                }
            }
        }
    }
    source-address-translation {
        type automap
    }
}

# 服务器池健康检查
ltm monitor https /Common/cbss_ssl_monitor {
    adaptive disabled
    destination *:443
    interval 10
    recv "200 OK"
    send "GET /healthcheck HTTP/1.1\r\nHost: cbss.example.com\r\nConnection: Close\r\n\r\n"
    time-until-up 0
    timeout 31
}

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: cbss-key-ingress
  annotations:
    nginx.ingress.kubernetes.io/affinity: "cookie"
    nginx.ingress.kubernetes.io/affinity-mode: "persistent"
    nginx.ingress.kubernetes.io/backend-protocol: "HTTPS"
    nginx.ingress.kubernetes.io/configuration-snippet: |
      proxy_ssl_session_reuse on;
      proxy_ssl_protocols TLSv1.3;
spec:
  tls:
  - hosts:
    - key.cbss.example.com
    secretName: cbss-tls-secret
  rules:
  - host: key.cbss.example.com
    http:
      paths:
      - path: /key/v1/issue
        pathType: Prefix
        backend:
          service:
            name: key-issuer-service
            port:
              number: 8443

# Nginx会话票证配置
ssl_session_tickets on;
ssl_session_ticket_key /etc/nginx/ticket.key;
ssl_session_timeout 1d;
ssl_buffer_size 4k;

# 会话缓存共享配置
ssl_session_cache shared:SSL:50m;
ssl_session_cache off; # 在TLS 1.3中建议关闭以使用会话票证

// 密钥下发服务的双向TLS认证
@Configuration
public class KeyServiceSecurityConfig {
    
    @Bean
    public SSLContext sslContext() throws Exception {
        return SSLContextBuilder
            .create()
            .loadKeyMaterial(
                ResourceUtils.getFile("classpath:keystore/service-key.p12"),
                "password".toCharArray(),
                "password".toCharArray()
            )
            .loadTrustMaterial(
                ResourceUtils.getFile("classpath:truststore/ca-certs.p12"),
                "password".toCharArray()
            )
            .build();
    }
    
    @Bean
    public RestTemplate keyServiceRestTemplate() throws Exception {
        SSLContext sslContext = sslContext();
        return RestTemplateBuilder
            .create()
            .requestFactory(() -> {
                HttpComponentsClientHttpRequestFactory factory = 
                    new HttpComponentsClientHttpRequestFactory();
                factory.setHttpClient(HttpClients.custom()
                    .setSSLContext(sslContext)
                    .setSSLHostnameVerifier(NoopHostnameVerifier.INSTANCE)
                    .build());
                return factory;
            })
            .build();
    }
}

class KeyIssuanceService:
    def issue_session_key(self, client_cert_fingerprint, key_policy):
        # 验证客户端权限
        if not self.acl_service.check_permission(client_cert_fingerprint, key_policy):
            raise PermissionError("Client not authorized for requested key policy")
        
        # 从HSM获取当前有效的KEK
        kek = self.hsm_client.get_active_kek(key_policy.kek_id)
        
        # 生成随机会话密钥（DEK）
        dek = os.urandom(32)  # AES-256密钥
        
        # 使用KEK加密DEK
        encrypted_dek = self.crypto_service.rsa_encrypt(dek, kek.public_key)
        
        # 记录密钥下发审计日志
        self.audit_service.log_key_issuance(
            client_cert_fingerprint, 
            key_policy, 
            dek_id=hashlib.sha256(dek).hexdigest()
        )
        
        return {
            "encrypted_dek": base64.b64encode(encrypted_dek).decode(),
            "kek_version": kek.version,
            "expires_in": key_policy.ttl,
            "algorithm": "A256GCM"
        }

apiVersion: v1
kind: ConfigMap
metadata:
  name: nginx-config
data:
  nginx.conf: |
    upstream key_services {
        least_conn;
        server key-service-1:8443 max_fails=3 fail_timeout=30s;
        server key-service-2:8443 max_fails=3 fail_timeout=30s;
        server key-service-3:8443 max_fails=3 fail_timeout=30s;
        
        # 会话保持配置
        sticky cookie srv_id expires=1h domain=.cbss.example.com path=/;
    }

apiVersion: apps/v1
kind: Deployment
metadata:
  name: key-session-manager
spec:
  replicas: 3
  template:
    spec:
      containers:
      - name: session-service
        image: cbss/key-session:3.0.1
        env:
        - name: REDIS_CLUSTER_NODES
          value: "redis-cluster-1:6379,redis-cluster-2:6379,redis-cluster-3:6379"
        - name: REDIS_PASSWORD
          valueFrom:
            secretKeyRef:
              name: redis-auth
              key: password
        - name: SESSION_TTL
          value: "3600"  # 1小时会话超时

@Component
public class KeyServiceClient {
    
    @Retryable(value = {KeyServiceException.class}, 
               maxAttempts = 3, 
               backoff = @Backoff(delay = 1000, multiplier = 2))
    public KeyResponse requestKey(KeyRequest request) {
        // 尝试主节点
        try {
            return keyServicePrimary.issueKey(request);
        } catch (KeyServiceException e) {
            log.warn("Primary key service unavailable, failing over to secondary");
            // 故障转移到备用节点
            return keyServiceSecondary.issueKey(request);
        }
    }
    
    @Recover
    public KeyResponse fallbackRequestKey(KeyServiceException e, KeyRequest request) {
        // 所有节点都不可用时的降级策略
        return generateLocalKey(request);
    }
}

# 密钥服务连接池配置
key-service:
  connection-pool:
    max-total: 200
    max-per-route: 20
    validate-after-inactivity: 30000
    time-to-live: 900000
  timeout:
    connection: 5000
    socket: 10000
    request: 30000

# QAT驱动加载配置
echo 2048 > /sys/bus/pci/devices/0000:3b:00.0/sriov_numvfs
modprobe qat_c62x
echo 1 > /sys/bus/pci/devices/0000:3b:00.0/reset

# OpenSSL引擎配置
openssl.cnf:
[openssl_def]
engines = engine_section

[engine_section]
qat = qat_section

[qat_section]
engine_id = qat
dynamic_path = /usr/lib64/engines-1.1/qat.so
default_algorithms = ALL
init_status = 1

# Prometheus监控规则
groups:
- name: key_issuance_rules
  rules:
  - alert: KeyIssuanceHighLatency
    expr: histogram_quantile(0.95, rate(key_issuance_duration_seconds_bucket[5m])) > 0.1
    for: 5m
    labels:
      severity: warning
    annotations:
      summary: "Key issuance latency above threshold"
      description: "P95 key issuance latency is {{ $value }}s"
  
  - alert: KeyServiceErrorRateHigh
    expr: rate(key_issuance_errors_total[5m]) / rate(key_issuance_requests_total[5m]) > 0.01
    for: 2m
    labels:
      severity: critical
    annotations:
      summary: "Key service error rate elevated"
      description: "Key service error rate is {{ $value }}"

@Aspect
@Component
public class KeyIssuanceAuditAspect {
    
    @Around("@annotation(KeyIssuanceAudit)")
    public Object auditKeyIssuance(ProceedingJoinPoint joinPoint) throws Throwable {
        KeyRequest request = (KeyRequest) joinPoint.getArgs()[0];
        String clientId = getClientIdFromCertificate();
        
        // 记录请求开始
        auditLogger.log(AuditEvent.builder()
            .eventType("KEY_ISSUANCE_START")
            .clientId(clientId)
            .keyPolicy(request.getPolicy())
            .timestamp(Instant.now())
            .build());
        
        try {
            Object result = joinPoint.proceed();
            
            // 记录成功下发
            auditLogger.log(AuditEvent.builder()
                .eventType("KEY_ISSUANCE_SUCCESS")
                .clientId(clientId)
                .keyId(extractKeyId(result))
                .timestamp(Instant.now())
                .build());
                
            return result;
            
        } catch (Exception e) {
            // 记录失败事件
            auditLogger.log(AuditEvent.builder()
                .eventType("KEY_ISSUANCE_FAILURE")
                .clientId(clientId)
                .errorMessage(e.getMessage())
                .timestamp(Instant.now())
                .build());
            throw e;
        }
    }
}

-- 异常密钥下发模式检测
SELECT 
    client_id,
    COUNT(*) as request_count,
    AVG(response_time) as avg_response_time,
    COUNT(CASE WHEN error_code != 0 THEN 1 END) as error_count
FROM key_issuance_audit 
WHERE timestamp >= NOW() - INTERVAL 1 HOUR
GROUP BY client_id
HAVING 
    request_count > 1000 OR  -- 异常高频请求
    avg_response_time < 10 OR -- 异常低延迟（可能绕过验证）
    error_count / request_count > 0.1  -- 高错误率
ORDER BY request_count DESC;

主中心HSM集群（北京）
    ↓ 实时同步（RPO≈0）
热备中心HSM集群（西咸）
    ↓ 定时同步（RPO≤5分钟）
冷备中心HSM节点（贵阳）

-- 故障切换后验证密钥一致性
SELECT 
    table_name,
    COUNT(*) as total_records,
    MD5(GROUP_CONCAT(encrypted_column ORDER BY id)) as encryption_hash
FROM encrypted_tables 
GROUP BY table_name;

# 加密数据一致性校验脚本
EVAL "
local master_keys = redis.call('HGETALL', 'encryption:keys')
local slave_keys = redis.call('HGETALL', 'encryption:keys')
if #master_keys ~= #slave_keys then
    return 'KEY_COUNT_MISMATCH'
end
for i=1, #master_keys, 2 do
    if master_keys[i] ~= slave_keys[i] or master_keys[i+1] ~= slave_keys[i+1] then
        return 'KEY_VALUE_MISMATCH'
    end
end
return 'CONSISTENT'
" 0

def verify_cross_dc_key_consistency():
    """验证跨数据中心密钥一致性"""
    primary_keys = get_keys_from_primary_dc()
    backup_keys = get_keys_from_backup_dc()
    
    # 版本号一致性检查
    if primary_keys['version'] != backup_keys['version']:
        raise ConsistencyError("密钥版本不一致")
    
    # 密钥指纹验证
    primary_fingerprint = calculate_key_fingerprint(primary_keys['data'])
    backup_fingerprint = calculate_key_fingerprint(backup_keys['data'])
    
    if primary_fingerprint != backup_fingerprint:
        raise ConsistencyError("密钥内容不一致")
    
    # 有效期一致性检查
    if abs(primary_keys['expiry'] - backup_keys['expiry']) > 300:  # 5分钟容差
        raise ConsistencyError("密钥有效期不一致")
    
    return True

class KeyConsistencyManager:
    def __init__(self):
        self.monitoring_interval = 30  # 秒
        
    def detect_inconsistency(self):
        """检测密钥不一致性"""
        inconsistencies = []
        
        # 检查HSM集群一致性
        hsm_status = self.check_hsm_cluster_consistency()
        if not hsm_status['consistent']:
            inconsistencies.append(('HSM', hsm_status['details']))
        
        # 检查数据库加密状态
        db_status = self.check_database_encryption_consistency()
        if not db_status['consistent']:
            inconsistencies.append(('Database', db_status['details']))
        
        # 检查缓存密钥一致性
        cache_status = self.check_cache_key_consistency()
        if not cache_status['consistent']:
            inconsistencies.append(('Cache', cache_status['details']))
        
        return inconsistencies
    
    def auto_recovery(self, inconsistency_type):
        """自动恢复密钥一致性"""
        if inconsistency_type == 'HSM':
            self.sync_hsm_cluster()
        elif inconsistency_type == 'Database':
            self.resync_encryption_keys()
        elif inconsistency_type == 'Cache':
            self.reload_cache_keys()
        
        # 记录恢复操作
        self.log_recovery_action(inconsistency_type)

# hsm-cluster-config.yaml
hsm:
  cluster_name: "cbss3-hsm-primary"
  nodes:
    - node_id: "hsm-beijing-01"
      ip_address: "192.168.100.101"
      role: "primary"
      sync_mode: "paxos"
    - node_id: "hsm-beijing-02" 
      ip_address: "192.168.100.102"
      role: "secondary"
      sync_mode: "paxos"
    - node_id: "hsm-beijing-03"
      ip_address: "192.168.100.103"
      role: "secondary"
      sync_mode: "paxos"
  
  # RSA4096密钥参数
  rsa_4096_params:
    key_size: 4096
    public_exponent: 65537
    key_usage: ["encrypt", "decrypt", "sign", "verify"]
    key_rotation_days: 90
    
  # 高可用配置
  high_availability:
    heartbeat_interval: "1s"
    failover_timeout: "50ms"
    auto_failback: true
    quorum_size: 2
    
  # 性能优化参数
  performance:
    max_concurrent_operations: 10000
    operation_timeout: "30s"
    session_cache_size: 500000
    session_timeout: "24h"

# mysql-encryption.cnf
[mysqld]
# SSL/TLS配置
ssl_ca = /etc/mysql/ssl/ca-cert.pem
ssl_cert = /etc/mysql/ssl/server-cert.pem  
ssl_key = /etc/mysql/ssl/server-key.pem
require_secure_transport = ON
ssl_cipher = ECDHE-RSA-AES256-GCM-SHA384:ECDHE-RSA-CHACHA20-POLY1305

# 组复制加密
group_replication_ssl_mode = REQUIRED
group_replication_recovery_use_ssl = 1
group_replication_recovery_ssl_ca = /etc/mysql/ssl/ca-cert.pem
group_replication_recovery_ssl_cert = /etc/mysql/ssl/server-cert.pem
group_replication_recovery_ssl_key = /etc/mysql/ssl/server-key.pem

# 列级加密存储过程配置
encryption:
  key_version_table = cbss_key_versions
  rsa_key_table = cbss_rsa_keys
  auto_rotate_days = 30
  max_key_versions = 5

# 性能优化
max_connections = 2000
thread_cache_size = 100
table_open_cache = 4000
innodb_buffer_pool_size = 64G

# redis-encryption.conf
# TLS/SSL配置
tls-port 6379
tls-cert-file /etc/redis/ssl/redis.crt
tls-key-file /etc/redis/ssl/redis.key
tls-ca-cert-file /etc/redis/ssl/ca.crt
tls-auth-clients optional

# 集群加密
tls-cluster yes
tls-replication yes
tls-session-cache-size 5000000
tls-session-cache-timeout 3600

# ACL访问控制
aclfile /etc/redis/users.acl
acllog-max-len 128

# 内存与性能优化
maxmemory 32gb
maxmemory-policy allkeys-lru
hash-max-ziplist-entries 512
list-max-ziplist-size -2

# 监控配置
latency-monitor-threshold 10
slowlog-log-slower-than 10000
slowlog-max-len 128

# OpenSSL引擎配置
openssl_conf = openssl_def

[openssl_def]
engines = engine_section

[engine_section]
qat = qat_section

[qat_section]
engine_id = qat
dynamic_path = /usr/lib/engines-3/qat.so
MODULE_PATH = /usr/lib/engines-3/qat.so
init = 1
ENABLE_EVENT_DRIVEN_POLLING = 1

# RSA4096性能优化参数
[req]
default_bits = 4096
default_md = sha256
distinguished_name = req_distinguished_name

[req_distinguished_name]
countryName = CN
stateOrProvinceName = Beijing
localityName = Beijing
organizationName = China Unicom
commonName = cbss3.0.chinaunicom.cn

# openssl-qat.cnf
[openssl_init]
engines = engine_section

[engine_section]
qat = qat_engine

[qat_engine]
engine_id = qat
dynamic_path = /usr/lib64/engines-1.1/qat.so
default_algorithms = ALL
QAT_SW_FALLBACK = 1
QAT_SW_FALLBACK_THRESHOLD = 2048
QAT_MAX_ASYNC_REQUESTS = 10000

# RSA4096特定优化
[rsa_4096_optimized]
CipherString = ECDHE-RSA-AES256-GCM-SHA384
MinProtocol = TLSv1.2
Options = ServerPreference
RSA.KeySize = 4096

# mysql-keyring.cnf
[mysqld]
# Keyring插件配置
early-plugin-load=keyring_file.so
keyring_file_data=/var/lib/mysql-keyring/keyring

# 列级加密函数配置
[encryption]
key_management = keyring
encryption_algorithm = aes_256_cbc
key_length = 256

# 加密表配置示例
CREATE TABLE encrypted_users (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    phone_number VARBINARY(200) ENCRYPTED WITH (
        KEY_ID = 'user_phone_key',
        ALGORITHM = AES_256_CBC
    ),
    email VARBINARY(300) ENCRYPTED WITH (
        KEY_ID = 'user_email_key', 
        ALGORITHM = AES_256_CBC
    )
) ENCRYPTION='Y';

// redis-encryption-module.c
#include "redismodule.h"
#include <openssl/rsa.h>
#include <openssl/pem.h>

#define RSA_KEY_SIZE 4096
#define MAX_ENCRYPTED_SIZE 512

// RSA加密命令实现
int RSAEncryptCommand(RedisModuleCtx *ctx, RedisModuleString **argv, int argc) {
    if (argc != 3) return RedisModule_WrongArity(ctx);
    
    // 获取公钥和待加密数据
    size_t public_key_len;
    const char *public_key = RedisModule_StringPtrLen(argv[1], &public_key_len);
    
    size_t plaintext_len;
    const char *plaintext = RedisModule_StringPtrLen(argv[2], &plaintext_len);
    
    // RSA加密处理
    RSA *rsa = RSA_new();
    BIO *bio = BIO_new_mem_buf(public_key, public_key_len);
    PEM_read_bio_RSA_PUBKEY(bio, &rsa, NULL, NULL);
    
    unsigned char encrypted[MAX_ENCRYPTED_SIZE];
    int encrypted_len = RSA_public_encrypt(plaintext_len, 
                                         (unsigned char*)plaintext,
                                         encrypted, rsa, RSA_PKCS1_OAEP_PADDING);
    
    if (encrypted_len == -1) {
        RedisModule_ReplyWithError(ctx, "ERR encryption failed");
        return REDISMODULE_OK;
    }
    
    RedisModule_ReplyWithStringBuffer(ctx, (char*)encrypted, encrypted_len);
    RSA_free(rsa);
    BIO_free(bio);
    return REDISMODULE_OK;
}

// 模块注册
int RedisModule_OnLoad(RedisModuleCtx *ctx) {
    if (RedisModule_Init(ctx, "encryption", 1, REDISMODULE_APIVER_1) == REDISMODULE_ERR)
        return REDISMODULE_ERR;
    
    if (RedisModule_CreateCommand(ctx, "rsa.encrypt", 
                                 RSAEncryptCommand, "readonly", 0, 0, 0) == REDISMODULE_ERR)
        return REDISMODULE_ERR;
    
    return REDISMODULE_OK;
}

{
  "config_schema": {
    "encryption_config": {
      "type": "object",
      "properties": {
        "rsa_key_rotation": {
          "type": "object",
          "properties": {
            "enabled": {"type": "boolean", "default": true},
            "interval_days": {"type": "integer", "minimum": 1, "maximum": 365},
            "grace_period_hours": {"type": "integer", "default": 24}
          }
        },
        "performance_tuning": {
          "type": "object", 
          "properties": {
            "max_concurrent_encrypt": {"type": "integer", "minimum": 100, "maximum": 10000},
            "session_cache_size": {"type": "integer", "minimum": 1000, "maximum": 1000000},
            "tls_session_timeout_minutes": {"type": "integer", "minimum": 5, "maximum": 1440}
          }
        }
      }
    }
  },
  
  "hot_reload_mechanism": {
    "polling_interval": "30s",
    "config_version": "2024.1.0",
    "rollback_strategy": "auto_rollback_on_error",
    "validation_timeout": "10s"
  }
}

# config-hot-reload.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: encryption-config-hot-reload
data:
  reload-strategy: "incremental"
  check-interval: "30s"
  max-retries: 3
  health-check-timeout: "10s"
  
  # 热加载脚本
  reload-script: |
    #!/bin/bash
    CONFIG_FILE=$1
    SERVICE_NAME=$2
    
    # 验证配置语法
    if ! validate_config "$CONFIG_FILE"; then
        echo "Config validation failed"
        exit 1
    fi
    
    # 优雅重启服务
    systemctl reload "$SERVICE_NAME"
    
    # 健康检查
    if wait_for_health_check "$SERVICE_NAME" 30; then
        echo "Hot reload successful"
        exit 0
    else
        echo "Health check failed, rolling back"
        rollback_config "$CONFIG_FILE"
        exit 1
    fi

# key_rotation_hot.py
import asyncio
import ssl
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa

class HotKeyRotation:
    def __init__(self, config_manager):
        self.config_manager = config_manager
        self.current_key_version = "key_v1"
        self.pending_key_version = None
        
    async def rotate_keys_gracefully(self):
        """零停机密钥轮换"""
        # 1. 生成新密钥对
        new_private_key = rsa.generate_private_key(
            public_exponent=65537,
            key_size=4096
        )
        new_public_key = new_private_key.public_key()
        
        # 2. 预加载新密钥到所有节点
        await self.preload_key_to_all_nodes(new_public_key, "key_v2")
        
        # 3. 双密钥并行运行期（24小时）
        self.pending_key_version = "key_v2"
        await asyncio.sleep(24 * 3600)  # 24小时并行期
        
        # 4. 切换主密钥版本
        old_version = self.current_key_version
        self.current_key_version = "key_v2"
        
        # 5. 清理旧密钥（保留解密能力）
        await self.cleanup_old_key(old_version)
        
    async def preload_key_to_all_nodes(self, public_key, key_version):
        """预加载密钥到集群所有节点"""
        nodes = await self.get_all_cluster_nodes()
        
        async with asyncio.TaskGroup() as tg:
            for node in nodes:
                tg.create_task(
                    self.load_key_to_node(node, public_key, key_version)
                )
                
    async def handle_encryption_request(self, data, key_version=None):
        """处理加密请求，支持多版本密钥"""
        version = key_version or self.current_key_version
        
        # 如果请求使用待淘汰密钥，记录并建议升级
        if version == self.pending_key_version:
            self.log_key_deprecation_warning(version)
            
        return await self.encrypt_with_version(data, version)

# config-versioning-policy.yaml
versioning_policy:
  schema: "major.minor.patch-environment"
  examples:
    stable: "2024.1.0-prod"
    canary: "2024.1.0-canary" 
    dev: "2024.1.1-dev"
    
  rollback_strategy:
    automated_rollback: true
    rollback_timeout: "5m"
    health_check_threshold: 85%
    
  deployment_strategy:
    canary:
      initial_traffic_percent: 5%
      evaluation_period: "30m"
      success_criteria: 
        error_rate: "< 1%"
        p95_latency: "< 100ms"
        throughput: "> 1000 tps"
      
    blue_green:
      switchover_timeout: "10m"
      drain_connections: true
      session_affinity: true

-- 配置版本管理表
CREATE TABLE config_versions (
    version_id VARCHAR(20) PRIMARY KEY,
    config_type ENUM('encryption', 'performance', 'security'),
    config_content JSON NOT NULL,
    checksum VARCHAR(64) NOT NULL,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    created_by VARCHAR(50) NOT NULL,
    environment ENUM('dev', 'test', 'canary', 'prod') NOT NULL,
    is_active BOOLEAN DEFAULT FALSE,
    rollback_config JSON
);

-- 配置发布记录表
CREATE TABLE config_deployments (
    deployment_id BIGINT AUTO_INCREMENT PRIMARY KEY,
    version_id VARCHAR(20),
    deployed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    deployed_by VARCHAR(50),
    environment ENUM('dev', 'test', 'canary', 'prod'),
    deployment_strategy ENUM('canary', 'blue-green', 'all-at-once'),
    status ENUM('success', 'failed', 'rolling-back'),
    rollback_version_id VARCHAR(20),
    FOREIGN KEY (version_id) REFERENCES config_versions(version_id)
);

# canary-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: encryption-service-canary
spec:
  replicas: 2
  selector:
    matchLabels:
      app: encryption-service
      version: canary
  template:
    metadata:
      labels:
        app: encryption-service
        version: canary
    spec:
      containers:
      - name: encryption-service
        image: cbss/encryption-service:2024.1.0-canary
        env:
        - name: CONFIG_VERSION
          value: "2024.1.0-canary"
        - name: RSA_KEY_VERSION
          value: "key_v2"
        resources:
          requests:
            cpu: 500m
            memory: 1Gi
          limits:
            cpu: 1000m
            memory: 2Gi

---
apiVersion: networking.k8s.io/v1
kind: VirtualService
metadata:
  name: encryption-canary-routing
spec:
  hosts:
  - encryption-service.cbss.svc.cluster.local
  http:
  - match:
    - headers:
        x-canary:
          exact: "true"
    route:
    - destination:
        host: encryption-service.cbss.svc.cluster.local
        subset: canary
    - destination:
        host: encryption-service.cbss.svc.cluster.local  
        subset: stable
      weight: 95
    - destination:
        host: encryption-service.cbss.svc.cluster.local
        subset: canary
      weight: 5

# canary-monitoring.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: encryption-canary-monitor
spec:
  selector:
    matchLabels:
      app: encryption-service
  endpoints:
  - port: metrics
    interval: 30s
    metricRelabelings:
    - sourceLabels: [version]
      targetLabel: deployment_version
      
  # 金丝雀发布成功标准
  rules:
    success_criteria:
      error_rate: 
        query: rate(http_requests_total{status=~"5.."}[5m]) / rate(http_requests_total[5m])
        threshold: 0.01  # 1%错误率
      latency:
        query: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))
        threshold: 0.1  # 100ms P95延迟
      throughput:
        query: rate(http_requests_total[5m])
        threshold: 1000  # 1000 TPS

# config-validation-pipeline.yaml
stages:
  - syntax_validation
  - security_validation  
  - performance_validation
  - compliance_validation
  
syntax_validation:
  script:
    - validate_yaml_syntax encryption-config.yaml
    - validate_json_schema config-schema.json
    - check_required_fields encryption-config.yaml
    
security_validation:
  script:
    - scan_for_secrets encryption-config.yaml
    - validate_certificate_expiry ssl/certs/
    - check_permission_configurations
    - audit_encryption_strength
    
performance_validation:
  script:
    - load_test_config encryption-config.yaml --concurrent 1000
    - benchmark_rsa_operations --key-size 4096 --iterations 10000
    - validate_connection_pool_settings
    
compliance_validation:
  script:
    - check_gb_18030_compliance
    - validate_cryptography_standards
    - audit_logging_configuration

#!/bin/bash
# security-compliance-check.sh

# 加密算法强度检查
echo "检查RSA密钥长度..."
openssl rsa -in private.key -text -noout | grep "4096 bit" || exit 1

# TLS配置合规检查  
echo "检查TLS配置..."
nmapi --tls-check cbss3.0.chinaunicom.cn:443 | grep "TLS 1.2" || exit 1

# 密钥管理合规检查
echo "检查密钥轮换策略..."
grep "key_rotation_days" encryption-config.yaml | grep -v "90" && exit 1

# 访问控制合规检查
echo "检查ACL配置..."
redis-cli --tls ACL LIST | grep "restricted" || exit 1

# 审计日志配置检查
echo "检查审计日志..."
grep "audit_log" mysql-config.cnf || exit 1

echo "所有安全合规检查通过"

class CrossDCConsistency:
    def __init__(self):
        self.primary_hsm = HSMManager('北京主中心')
        self.backup_hsms = [
            HSMManager('西咸备中心'),
            HSMManager('贵阳灾备中心')
        ]
    
    def sync_encryption_state(self, key_version, operation_log):
        # 1. 主中心生成加密操作日志
        encrypted_log = self._encrypt_operation_log(operation_log)
        
        # 2. 通过专线同步到备中心
        for hsm in self.backup_hsms:
            sync_result = hsm.replicate_encryption_state(
                key_version, encrypted_log
            )
            
            # 3. 验证同步一致性
            if not self._verify_sync_consistency(key_version):
                raise EncryptionSyncError("加密状态同步不一致")
    
    def _verify_sync_consistency(self, key_version):
        primary_hash = self.primary_hsm.get_key_state_hash(key_version)
        for hsm in self.backup_hsms:
            if hsm.get_key_state_hash(key_version) != primary_hash:
                return False
        return True

# 应用层性能指标
application_metrics:
  tls_handshake_p95: <100ms
  api_response_p95: <200ms
  encryption_throughput: >5000 ops/sec per node
  
# 数据层性能指标  
database_metrics:
  mysql_query_latency: <50ms
  redis_command_latency: <5ms
  replication_lag: <100ms
  
# 基础设施指标
infrastructure_metrics:
  cpu_utilization: <75%
  memory_utilization: <80%
  network_throughput: >1Gbps

总CPU核心数 = (日均加密操作数 × 单次加密耗时) / (86400 × 目标CPU利用率)
          = (30亿 × 0.0072) / (86400 × 0.75) ≈ 3333核心

内存需求 = 连接数 × 单连接内存 + 缓存大小 + 系统开销
        = 20万 × 2MB + 500GB + 50GB ≈ 900GB

存储需求 = 原始数据量 × 加密膨胀系数 × 冗余因子
        = 100TB × 1.3 × 3 ≈ 390TB

# QAT卡数量计算
def calculate_qat_requirements(total_rsa_ops, qat_capacity=30000):
    """计算QAT硬件加速卡需求"""
    base_throughput = total_rsa_ops / 86400  # 日均转换为秒级
    peak_multiplier = 3.0  # 峰值流量倍数
    safety_margin = 1.2    # 安全余量
    
    qat_cards_needed = ceil(
        (base_throughput * peak_multiplier * safety_margin) / qat_capacity
    )
    return qat_cards_needed

# 应用计算：450亿日话单，假设30%需要RSA加密
daily_encryptions = 45e9 * 0.3  # 135亿次加密
qat_requirement = calculate_qat_requirements(daily_encryptions)
print(f"所需QAT卡数量: {qat_requirement}")  # 输出: 所需QAT卡数量: 16

// 异步加密处理框架
public class AsyncEncryptionEngine {
    private final ExecutorService encryptionWorkers;
    private final QatAccelerator qatAccelerator;
    
    public CompletableFuture<byte[]> encryptAsync(byte[] plaintext) {
        return CompletableFuture.supplyAsync(() -> {
            if (qatAccelerator.isAvailable()) {
                return qatAccelerator.rsaEncrypt(plaintext);
            } else {
                return softwareRSA.encrypt(plaintext);
            }
        }, encryptionWorkers);
    }
    
    // 批量加密优化
    public CompletableFuture<List<byte[]>> batchEncrypt(List<byte[]> plaintexts) {
        List<CompletableFuture<byte[]>> futures = plaintexts.stream()
            .map(this::encryptAsync)
            .collect(Collectors.toList());
        
        return CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
            .thenApply(v -> futures.stream()
                .map(CompletableFuture::join)
                .collect(Collectors.toList()));
    }
}

-- 智能索引策略：对加密字段使用哈希索引
ALTER TABLE encrypted_users ADD COLUMN email_hash BINARY(32);
CREATE INDEX idx_email_hash ON encrypted_users(email_hash);

-- 分区表优化加密数据访问
CREATE TABLE encrypted_data (
    id BIGINT AUTO_INCREMENT,
    encrypted_payload BLOB,
    partition_key INT,
    created_time TIMESTAMP,
    PRIMARY KEY (id, partition_key)
) PARTITION BY HASH(partition_key) PARTITIONS 16;

-- 查询优化：避免加密字段的全表扫描
EXPLAIN SELECT * FROM encrypted_users 
WHERE email_hash = UNHEX(SHA2('user@example.com', 256));

# redis-cluster-performance.conf
# 内存优化
maxmemory 32gb
maxmemory-policy allkeys-lru
hash-max-ziplist-entries 512
hash-max-ziplist-value 64

# 持久化优化
appendonly yes
appendfsync everysec
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb

# 网络优化
tcp-keepalive 300
timeout 0
tcp-backlog 511

# nginx TLS性能优化配置
http {
    ssl_session_cache shared:SSL:50m;
    ssl_session_timeout 1d;
    ssl_session_tickets on;
    
    # TLS 1.3优化
    ssl_protocols TLSv1.2 TLSv1.3;
    ssl_ciphers TLS_AES_256_GCM_SHA384:TLS_CHACHA20_POLY1305_SHA256;
    
    # 连接复用
    keepalive_timeout 75s;
    keepalive_requests 1000;
}

# 基于加密负载的智能路由
load_balancing_policies:
  - name: "encryption-aware-routing"
    algorithm: "weighted-least-connections"
    parameters:
      cpu_weight: 0.6
      encryption_queue_weight: 0.4
    health_check:
      path: "/health/encryption"
      timeout: "5s"
      interval: "30s"

class AutoScalingManager:
    def __init__(self):
        self.scaling_thresholds = {
            'cpu_high': 80,    # CPU使用率>80%触发扩容
            'cpu_low': 30,     # CPU使用率<30%触发缩容
            'encryption_queue': 1000,  # 加密队列积压>1000触发扩容
            'response_time_p95': 150   # P95响应时间>150ms触发扩容
        }
    
    def evaluate_scaling_needs(self, metrics):
        scaling_action = 'maintain'
        
        if (metrics['cpu_utilization'] > self.scaling_thresholds['cpu_high'] or
            metrics['encryption_queue_depth'] > self.scaling_thresholds['encryption_queue'] or
            metrics['response_time_p95'] > self.scaling_thresholds['response_time_p95']):
            scaling_action = 'scale_out'
        
        elif metrics['cpu_utilization'] < self.scaling_thresholds['cpu_low']:
            scaling_action = 'scale_in'
            
        return scaling_action

from statsmodels.tsa.holtwinters import ExponentialSmoothing

class CapacityPredictor:
    def predict_daily_peak(self, historical_data):
        """基于历史数据预测每日峰值"""
        model = ExponentialSmoothing(
            historical_data,
            seasonal_periods=7,  # 周周期
            trend='add',
            seasonal='mul'
        )
        fitted_model = model.fit()
        forecast = fitted_model.forecast(24)  # 预测24小时
        
        return forecast.max()
    
    def calculate_buffer_capacity(self, predicted_peak):
        """计算缓冲容量"""
        safety_factor = 1.3  # 30%安全余量
        min_buffer_nodes = 2  # 最小缓冲节点数
        
        buffer_nodes = max(
            ceil(predicted_peak * safety_factor / self.node_capacity),
            min_buffer_nodes
        )
        return buffer_nodes

总拥有成本(TCO) = 硬件采购成本 + 3年运维成本 + 电力成本
QAT方案节省 = (纯CPU_TCO - QAT方案_TCO) / 纯CPU_TCO × 100%

# 成本优化配置
cost_optimization:
  instance_types:
    - name: "encryption-optimized"
      spec: "ecs.g6.4xlarge"  # 8核32G，适合加密工作负载
      spot_instance: true      # 使用抢占式实例降低成本
      auto_scaling: true
    
  storage_optimization:
    data_tiering:
      hot_data: "ESSD"        # 热数据使用高性能云盘
      warm_data: "STANDARD"   # 温数据使用标准云盘  
      cold_data: "ARCHIVE"    # 冷数据使用归档存储
    
  network_optimization:
    cross_az_traffic: "minimize"  # 最小化跨可用区流量
    cdn_utilization: "maximize"   # 最大化CDN使用

class PerformanceBenchmark:
    def run_encryption_stress_test(self):
        """执行加密压力测试"""
        test_scenarios = [
            {'concurrent_users': 1000, 'duration': '10m', 'encryption_ratio': 0.1},
            {'concurrent_users': 5000, 'duration': '15m', 'encryption_ratio': 0.3},
            {'concurrent_users': 20000, 'duration': '20m', 'encryption_ratio': 0.5},
            {'concurrent_users': 50000, 'duration': '30m', 'encryption_ratio': 0.7}
        ]
        
        results = {}
        for scenario in test_scenarios:
            result = self.execute_test_scenario(scenario)
            results[scenario['concurrent_users']] = result
            
            # 验证性能SLA
            self.validate_performance_sla(result)
        
        return results
    
    def validate_performance_sla(self, test_result):
        """验证性能SLA合规性"""
        sla_requirements = {
            'response_time_p95': 200,    # 200ms以内
            'error_rate': 0.001,         # 0.1%错误率
            'throughput': 5000           # 5000 ops/sec
        }
        
        for metric, threshold in sla_requirements.items():
            if test_result[metric] > threshold:
                raise PerformanceSLAViolation(
                    f"{metric}超出阈值: {test_result[metric]} > {threshold}"
                )

# 极限压力测试配置
stress_test_config:
  phase_1:  # 基础负载测试
    duration: "2h"
    target_rps: 10000
    encryption_operations: 30%
    
  phase_2:  # 峰值负载测试  
    duration: "1h"
    target_rps: 50000
    encryption_operations: 50%
    
  phase_3:  # 破坏性测试
    duration: "30m"
    target_rps: 100000
    encryption_operations: 70%
    failure_injection: true

# 加密性能专项监控
encryption_monitoring:
  metrics:
    - name: "rsa_encryption_duration_seconds"
      help: "RSA加密操作耗时"
      type: histogram
      buckets: [0.001, 0.005, 0.01, 0.05, 0.1, 0.5, 1.0]
      
    - name: "encryption_queue_depth"
      help: "加密队列深度"
      type: gauge
      
    - name: "qat_accelerator_utilization"
      help: "QAT加速器利用率"
      type: gauge

  alerts:
    - alert: "HighEncryptionLatency"
      expr: "histogram_quantile(0.95, rsa_encryption_duration_seconds) > 0.1"
      for: "5m"
      labels:
        severity: "warning"
      annotations:
        summary: "RSA加密延迟过高"

class AdaptiveTuningSystem:
    def __init__(self):
        self.tuning_parameters = {
            'connection_pool_size': (50, 200),
            'encryption_batch_size': (10, 100),
            'cache_ttl': (300, 3600)
        }
        self.ml_model = self.load_tuning_model()
    
    def optimize_parameters(self, current_metrics):
        """基于当前指标优化系统参数"""
        recommended_params = self.ml_model.predict(current_metrics)
        
        # 应用优化参数
        for param_name, new_value in recommended_params.items():
            self.apply_parameter_change(param_name, new_value)
            
        return recommended_params
    
    def apply_parameter_change(self, param_name, new_value):
        """安全地应用参数变更"""
        min_val, max_val = self.tuning_parameters[param_name]
        clamped_value = max(min_val, min(new_value, max_val))
        
        # 灰度应用变更
        self.rolling_update_parameter(param_name, clamped_value)

# Prometheus配置示例
scrape_configs:
  - job_name: 'mysql_encryption'
    static_configs:
      - targets: ['mysql-cluster:9104']
    metrics_path: '/metrics'
    params:
      module: [mysql_encryption]
    
  - job_name: 'redis_cluster'
    static_configs:
      - targets: ['redis-node1:9121', 'redis-node2:9121']
    metrics_path: '/metrics'

class KeyRotationAutomation:
    def __init__(self):
        self.key_manager = KeyManager()
        self.monitor = SecurityMonitor()
        
    def auto_rotate_keys(self):
        """自动密钥轮换流程"""
        try:
            # 1. 检查密钥使用情况
            key_usage = self.monitor.get_key_usage_stats()
            
            # 2. 判断是否需要轮换
            if self.need_rotation(key_usage):
                # 3. 生成新密钥
                new_key_id = self.key_manager.generate_key()
                
                # 4. 数据迁移
                self.migrate_data_to_new_key(new_key_id)
                
                # 5. 更新配置
                self.update_system_config(new_key_id)
                
                # 6. 验证新密钥
                self.validate_new_key_operation()
                
                # 7. 归档旧密钥
                self.archive_old_key()
                
        except Exception as e:
            self.alert_operation_team(f"密钥轮换失败: {str(e)}")

class FaultDetection:
    def detect_encryption_fault(self, metrics):
        """加密故障检测算法"""
        # 性能异常检测
        if metrics['encryption_latency'] > 100:  # 延迟超过100ms
            return "ENCRYPTION_PERFORMANCE_DEGRADATION"
            
        # 错误率检测
        if metrics['decryption_error_rate'] > 0.1:  # 错误率超过0.1%
            return "DECRYPTION_ERROR_ANOMALY"
            
        # 密钥状态检测
        if metrics['key_usage'] > 90:  # 密钥使用率超过90%
            return "KEY_OVERUTILIZATION"

class CapacityPredictor:
    def predict_encryption_demand(self, historical_data, growth_rate):
        """加密容量需求预测"""
        # 基于历史数据的趋势分析
        base_demand = self.analyze_historical_trend(historical_data)
        
        # 考虑业务增长因素
        growth_factor = 1 + growth_rate / 100
        
        # 季节性调整
        seasonal_adjustment = self.calculate_seasonal_factor()
        
        predicted_demand = base_demand * growth_factor * seasonal_adjustment
        
        return predicted_demand

class ComplianceChecker:
    def check_encryption_compliance(self):
        """加密合规性自动检查"""
        checks = {
            'key_length': self.check_key_length(),  # 密钥长度合规
            'algorithm': self.check_algorithm(),    # 算法使用合规
            'key_rotation': self.check_rotation(), # 密钥轮换合规
            'access_control': self.check_access()  # 访问控制合规
        }
        
        compliance_report = {
            'timestamp': datetime.now(),
            'checks': checks,
            'overall_status': self.assess_overall_compliance(checks)
        }
        
        return compliance_report

drill_metrics:
  rto_achievement: true    # RTO目标达成率
  rpo_achievement: true    # RPO目标达成率
  data_consistency: 99.99% # 数据一致性
  service_recovery: 100%   # 服务恢复完整性