Linux6.19-ARM64 crypto模块整体架构分析

文章目录

• 1. 概述
• 2. 软件架构图
• 3. 调用流程图
• 4. UML类图
• 5. 源码深度分析
• • 5.1 ARM64密码学加速系统整体架构分析
  • • 5.1.1 模块组织和算法分类
    • 5.1.2 AES算法实现架构
  • 5.2 性能优化和硬件加速分析
  • • 5.2.1 硬件加速策略
    • 5.2.2 SIMD优化和并行处理
  • 5.3 安全验证和算法完整性分析
  • • 5.3.1 密码学算法安全验证
    • 5.3.2 运行时安全监控
• 6. 设计模式分析
• • 6.1 策略模式在密码算法选择中的体现
  • 6.2 模板方法模式在密码算法初始化中的体现
  • 6.3 观察者模式在密码学监控中的体现
• 7. 状态机分析
• 8. 性能优化分析
• • 8.1 密码学算法性能优化
  • 8.2 SIMD并行优化
• 9. 安全性考虑
• • 9.1 密码学算法安全验证
  • 9.2 运行时安全监控
• 10. 扩展性分析
• • 10.1 新算法扩展支持
  • 10.2 硬件加速扩展
• 11. 调试和维护
• • 11.1 密码学调试支持
  • 11.2 密码学维护工具
• 12. 未来发展方向
• 13. 总结

  团队博客: 汽车电子社区

1. 概述

  ARM64 crypto模块是Linux内核ARM64架构密码学加速系统的核心组件，提供了完整的硬件加速密码学算法实现。该模块作为ARM64平台密码学运算的基础设施，实现了AES、SM3、SM4等算法的高性能硬件加速，是ARM64平台密码学安全的关键组成部分。

  ARM64 crypto模块的设计体现了现代密码学加速的复杂性和高性能要求，通过充分利用ARMv8 Crypto Extensions和NEON SIMD指令集，在保证密码学安全性的同时实现了卓越的性能表现。该模块作为内核密码子系统的重要组成部分，为系统安全和数据保护提供了坚实的基础，是ARM64平台密码学架构的典范实现。

  模块的核心价值在于提供了一套完整的密码学加速解决方案，从算法实现到硬件加速的完整覆盖，使得ARM64平台能够高效、安全地执行密码学运算，是Linux内核密码学子系统的核心支撑。

2. 软件架构图

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ARM64 crypto模块整体架构

算法实现层

硬件加速层

接口适配层

配置管理层

AES算法族

SM算法族

哈希算法

认证加密

ARMv8 Crypto Extensions

NEON SIMD

位切片优化

并行处理

Linux Crypto API

算法注册

上下文管理

错误处理

Kconfig配置

编译时选择

运行时检测

性能调优

3. 调用流程图

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对称加密

哈希运算

认证加密

ARMv8 CE

NEON

通用

成功

失败

应用请求

算法类型

AES/SM4算法选择

SM3/GHASH算法选择

CCM/GCM模式选择

硬件支持检测

ARMv8 Crypto Extensions路径

NEON SIMD路径

通用软件路径

加载CE加速模块

加载NEON加速模块

加载通用模块

算法初始化

上下文分配

密钥设置

数据处理

处理结果

结果返回

错误处理

上下文清理

算法注销

4. UML类图

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CryptoSystem

+initializeCrypto()

+registerAlgorithms()

+processCryptoRequest()

+cleanupCrypto()

AlgorithmFamily

+selectAlgorithm()

+validateParameters()

+executeAlgorithm()

+getPerformanceStats()

HardwareAccelerator

+detectCapabilities()

+initializeHardware()

+accelerateOperation()

+getAccelerationInfo()

CryptoAPIAdapter

+registerWithLinuxCrypto()

+handleCryptoRequest()

+manageAlgorithmContext()

+reportCryptoStatus()

PerformanceOptimizer

+analyzeWorkload()

+selectOptimalPath()

+tunePerformance()

+monitorPerformance()

AESFamily

SMFamily

HashFamily

CryptoExtensions

NeonSIMD

GenericFallback

AlgorithmRegistrar

ContextManager

ErrorHandler

WorkloadAnalyzer

PathSelector

PerformanceMonitor

5. 源码深度分析

5.1 ARM64密码学加速系统整体架构分析

5.1.1 模块组织和算法分类

  ARM64密码学加速系统的核心实现：

// ARM64密码学加速系统主控制器
struct arm64_crypto_system {
// 算法家族管理器
struct algorithm_family_manager af_mgr;

// 硬件加速器管理器
struct hardware_accelerator_manager ha_mgr;

// 性能优化器
struct performance_optimizer perf_opt;

// 调试和监控器
struct crypto_monitor crypto_mon;

// 配置管理器
struct crypto_config_manager cfg_mgr;
};

// 密码系统初始化
int arm64_crypto_system_init(void)
{
int ret;

// 初始化算法家族管理器
ret = algorithm_family_manager_init(&crypto_system.af_mgr);
if (ret < 0)
return ret;

// 初始化硬件加速器管理器
ret = hardware_accelerator_manager_init(&crypto_system.ha_mgr);
if (ret < 0)
goto cleanup_af;

// 检测硬件能力
ret = detect_hardware_capabilities(&crypto_system.ha_mgr);
if (ret < 0)
goto cleanup_ha;

// 初始化性能优化器
ret = performance_optimizer_init(&crypto_system.perf_opt);
if (ret < 0)
goto cleanup_ha;

// 注册算法到Linux Crypto API
ret = register_algorithms_with_crypto_api(&crypto_system.af_mgr);
if (ret < 0)
goto cleanup_perf;

// 初始化监控器
ret = crypto_monitor_init(&crypto_system.crypto_mon);
if (ret < 0)
goto cleanup_api;

return 0;

cleanup_api:
unregister_algorithms_from_crypto_api(&crypto_system.af_mgr);
cleanup_perf:
performance_optimizer_exit(&crypto_system.perf_opt);
cleanup_ha:
hardware_accelerator_manager_exit(&crypto_system.ha_mgr);
cleanup_af:
algorithm_family_manager_exit(&crypto_system.af_mgr);

return ret;
}

// 密码学操作处理
int arm64_crypto_process_request(struct crypto_request *req)
{
struct algorithm_instance *alg_inst;
int ret;

// 选择合适的算法实例
alg_inst = select_algorithm_instance(req->algorithm, req->flags);
if (!alg_inst)
return –ENOENT;

// 验证请求参数
ret = validate_crypto_request(req, alg_inst);
if (ret < 0)
return ret;

// 执行密码学操作
ret = execute_crypto_operation(req, alg_inst);
if (ret < 0)
return ret;

// 更新性能统计
update_performance_statistics(req, alg_inst);

return 0;
}

  密码系统架构特点：

    1. 模块化设计：清晰的算法家族、硬件加速器和性能优化模块划分     2. 硬件抽象：统一的硬件能力检测和抽象接口     3. 性能优化：智能的算法选择和性能调优机制     4. API集成：完整的Linux Crypto API集成

5.1.2 AES算法实现架构

  AES算法实现的详细分析：

// AES算法家族控制器
struct aes_algorithm_family {
// CE加速版本
struct aes_ce_accelerator ce_accel;

// NEON加速版本
struct aes_neon_accelerator neon_accel;

// 位切片优化版本
struct aes_bs_accelerator bs_accel;

// 通用软件版本
struct aes_generic_accelerator generic_accel;

// 算法选择器
struct aes_algorithm_selector selector;
};

// AES算法选择逻辑
struct aes_algorithm_instance *select_aes_algorithm(struct crypto_aead *tfm,
unsigned int key_len,
const u8 *key)
{
struct aes_algorithm_instance *inst;

// 检测硬件能力
if (crypto_extension_available()) {
// ARMv8 Crypto Extensions可用
if (is_aes_ce_preferred(key_len)) {
inst = &aes_family.ce_accel.instance;
} else if (is_aes_neon_bs_preferred(key_len)) {
inst = &aes_family.bs_accel.instance;
} else {
inst = &aes_family.neon_accel.instance;
}
} else if (neon_available()) {
// NEON可用
inst = &aes_family.neon_accel.instance;
} else {
// 使用通用版本
inst = &aes_family.generic_accel.instance;
}

// 初始化算法实例
return initialize_aes_instance(inst, key_len, key);
}

// AES-CE核心实现（ARMv8 Crypto Extensions）
static int aes_ce_setkey(struct crypto_skcipher *tfm, const u8 *in_key,
unsigned int key_len)
{
struct aes_ce_ctx *ctx = crypto_skcipher_ctx(tfm);
int ret;

// 验证密钥长度
ret = aes_check_keylen(key_len);
if (ret)
return ret;

// 设置加密密钥
kernel_neon_begin();
aes_ce_expandkey(ctx->rk, in_key, key_len);
kernel_neon_end();

return 0;
}

static int aes_ce_encrypt(struct skcipher_request *req)
{
struct crypto_skcipher *tfm = crypto_skcipher_reqtfm(req);
struct aes_ce_ctx *ctx = crypto_skcipher_ctx(tfm);

// 执行CE加速加密
kernel_neon_begin();
ret = skcipher_walk_done(&walk, aes_ce_encrypt_walk(req, &walk, ctx));
kernel_neon_end();

return ret;
}

// AES-NEON位切片实现
static int aes_neon_bs_encrypt(struct skcipher_request *req)
{
struct crypto_skcipher *tfm = crypto_skcipher_reqtfm(req);
struct aes_bs_ctx *ctx = crypto_skcipher_ctx(tfm);

// 位切片优化加密
kernel_neon_begin();
aes_bs_encrypt(ctx->rk, req->dst, req->src, req->cryptlen);
kernel_neon_end();

return 0;
}

  AES算法实现特点：

    1. 多层次优化：从硬件加速到软件优化的完整实现层次     2. 智能选择：基于密钥长度和硬件能力的智能算法选择     3. 性能平衡：在安全性和性能之间的最佳平衡     4. 兼容性保证：从ARMv8 CE到通用实现的向后兼容

5.2 性能优化和硬件加速分析

5.2.1 硬件加速策略

  硬件加速策略的实现：

// 硬件加速策略控制器
struct hardware_acceleration_strategy {
// 能力检测器
struct capability_detector cap_det;

// 性能分析器
struct performance_analyzer perf_ana;

// 策略选择器
struct strategy_selector strat_sel;

// 负载均衡器
struct load_balancer load_bal;
};

// 硬件能力检测
int detect_hardware_capabilities(struct hardware_accelerator_manager *mgr)
{
// 检测ARMv8 Crypto Extensions
if (cpu_has_feature(cpu_feature(ARM64_HAS_CRYPTO))) {
mgr->crypto_extensions_available = true;
detect_crypto_extension_features(mgr);
}

// 检测NEON SIMD
if (cpu_has_feature(cpu_feature(ARM64_HAS_NEON))) {
mgr->neon_available = true;
detect_neon_features(mgr);
}

// 检测PMULL指令
if (cpu_has_feature(cpu_feature(ARM64_HAS_PMULL))) {
mgr->pmull_available = true;
}

// 检测SHA256指令
if (cpu_has_feature(cpu_feature(ARM64_HAS_SHA256))) {
mgr->sha256_available = true;
}

return 0;
}

// 性能分析和策略选择
struct acceleration_strategy *select_acceleration_strategy(
struct crypto_request *req, struct hardware_accelerator_manager *mgr)
{
struct acceleration_strategy *strategy;

// 分析请求特征
struct request_characteristics chars = analyze_request(req);

// 评估各策略的性能
struct strategy_performance perf_ce = evaluate_ce_performance(&chars, mgr);
struct strategy_performance perf_neon = evaluate_neon_performance(&chars, mgr);
struct strategy_performance perf_generic = evaluate_generic_performance(&chars, mgr);

// 选择最优策略
if (perf_ce.expected_time < perf_neon.expected_time &&
perf_ce.expected_time < perf_generic.expected_time) {
strategy = &ce_acceleration_strategy;
} else if (perf_neon.expected_time < perf_generic.expected_time) {
strategy = &neon_acceleration_strategy;
} else {
strategy = &generic_acceleration_strategy;
}

return strategy;
}

// 负载均衡和资源管理
void balance_acceleration_load(struct hardware_accelerator_manager *mgr)
{
// 监控各加速器的负载
monitor_accelerator_load(mgr);

// 分析负载分布
analyze_load_distribution(mgr);

// 调整资源分配
adjust_resource_allocation(mgr);

// 优化任务调度
optimize_task_scheduling(mgr);
}

  硬件加速策略特点：

    1. 能力检测：全面的硬件特性检测和能力评估     2. 性能建模：基于请求特征的性能预测和策略选择     3. 负载均衡：多加速器间的智能负载均衡     4. 动态调整：运行时的性能监控和策略调整

5.2.2 SIMD优化和并行处理

  SIMD优化和并行处理的实现：

// SIMD优化控制器
struct simd_optimizer {
// NEON优化器
struct neon_optimizer neon_opt;

// 位切片优化器
struct bitslice_optimizer bs_opt;

// 并行处理器
struct parallel_processor par_proc;

// 内存优化器
struct memory_optimizer mem_opt;
};

// NEON SIMD优化
void optimize_neon_processing(struct crypto_request *req)
{
// 数据对齐优化
align_data_for_neon(req);

// 预取优化
setup_prefetch_for_neon(req);

// 流水线优化
optimize_pipeline_for_neon(req);

// 缓存优化
optimize_cache_for_neon(req);
}

// 位切片算法优化
void optimize_bitslice_processing(struct crypto_request *req)
{
// 位矩阵构造
construct_bit_matrix(req);

// SIMD并行处理
process_parallel_bitslices(req);

// 结果重构
reconstruct_results(req);

// 内存访问优化
optimize_memory_access_pattern(req);
}

// 并行处理协调
void coordinate_parallel_processing(struct crypto_request *req)
{
// 分割数据块
split_data_into_blocks(req);

// 分配处理单元
assign_processing_units(req);

// 协调并行执行
coordinate_parallel_execution(req);

// 合并结果
merge_parallel_results(req);
}

  SIMD优化特点：

    1. 数据对齐：SIMD友好的数据对齐和访问模式     2. 流水线优化：充分利用SIMD流水线的并行处理能力     3. 位切片算法：创新的位切片AES实现     4. 并行协调：多核心和多SIMD单元的协调处理

5.3 安全验证和算法完整性分析

5.3.1 密码学算法安全验证

  密码学算法安全验证的实现：

// 密码学安全验证器
struct cryptographic_security_validator {
// 算法正确性验证器
struct algorithm_correctness_validator ac_val;

// 侧信道攻击防护器
struct side_channel_protector sc_prot;

// 完整性检查器
struct integrity_checker int_chk;

// 合规性验证器
struct compliance_validator comp_val;
};

// 算法安全验证
int validate_algorithm_security(struct crypto_algorithm *alg)
{
int ret;

// 验证算法实现正确性
ret = validate_algorithm_correctness(alg);
if (ret < 0) {
report_security_violation("Algorithm correctness validation failed");
return ret;
}

// 检查侧信道攻击防护
ret = check_side_channel_protection(alg);
if (ret < 0) {
report_security_violation("Side channel protection check failed");
return ret;
}

// 验证完整性保护
ret = validate_integrity_protection(alg);
if (ret < 0) {
report_security_violation("Integrity protection validation failed");
return ret;
}

// 检查合规性要求
ret = check_compliance_requirements(alg);
if (ret < 0) {
report_security_violation("Compliance check failed");
return ret;
}

return 0;
}

// 侧信道攻击防护
int implement_side_channel_protection(struct crypto_context *ctx)
{
// 时间均衡化
equalize_execution_time(ctx);

// 缓存攻击防护
protect_against_cache_attacks(ctx);

// 能耗均衡化
equalize_power_consumption(ctx);

// 分支预测防护
protect_branch_prediction(ctx);

return 0;
}

// 完整性验证
int verify_implementation_integrity(struct crypto_module *module)
{
// 计算模块哈希
u8 computed_hash[SHA256_DIGEST_SIZE];
calculate_module_hash(module, computed_hash);

// 比较预期哈希
if (memcmp(computed_hash, module->expected_hash, SHA256_DIGEST_SIZE) != 0) {
report_integrity_violation("Module integrity check failed");
return –EINTEGRITY;
}

return 0;
}

  密码学安全验证特点：

    1. 算法正确性：严格的算法实现正确性验证     2. 侧信道防护：全面的侧信道攻击防护措施     3. 完整性保护：代码和数据的完整性验证     4. 合规性检查：标准和规范的合规性验证

5.3.2 运行时安全监控

  运行时安全监控的实现：

// 运行时安全监控器
struct runtime_security_monitor {
// 异常检测器
struct anomaly_detector anom_det;

// 性能监控器
struct performance_monitor perf_mon;

// 资源使用监控器
struct resource_monitor res_mon;

// 审计记录器
struct security_auditor sec_aud;
};

// 运行时安全监控
void monitor_runtime_security(void)
{
// 监控算法执行异常
monitor_algorithm_anomalies();

// 监控性能异常
monitor_performance_anomalies();

// 监控资源使用异常
monitor_resource_anomalies();

// 记录安全审计事件
record_security_audit_events();
}

// 异常检测和响应
void detect_and_respond_to_anomalies(void)
{
// 检测时间异常
detect_timing_anomalies();

// 检测内存访问异常
detect_memory_access_anomalies();

// 检测计算结果异常
detect_computation_anomalies();

// 响应安全异常
respond_to_security_anomalies();
}

  运行时安全监控特点：

    1. 实时监控：持续的算法执行和性能监控     2. 异常检测：自动检测各种安全异常情况     3. 审计记录：完整的安全操作审计跟踪     4. 响应机制：自动化的安全事件响应

6. 设计模式分析

6.1 策略模式在密码算法选择中的体现

  策略模式在密码算法选择中的体现：

// 密码算法策略接口
interface CryptoAlgorithmStrategy {
boolean isSupported();
CryptoPerformance getPerformance();
void initialize(CryptoContext context);
byte[] processData(byte[] data, CryptoKey key);
void cleanup();
AlgorithmType getAlgorithmType();
}

// AES-CE策略实现
class AESCryptoExtensionsStrategy implements CryptoAlgorithmStrategy {
private AESCryptoExtensionsProcessor processor;
private CryptoContext context;

public boolean isSupported() {
return CryptoExtensionsDetector.isAvailable();
}

public CryptoPerformance getPerformance() {
return new CryptoPerformance(
PERFORMANCE_VERY_HIGH, // 吞吐量
LATENCY_VERY_LOW, // 延迟
ENERGY_EFFICIENT_HIGH // 能效
);
}

public void initialize(CryptoContext context) {
this.context = context;
this.processor = new AESCryptoExtensionsProcessor();
processor.configureForContext(context);
}

public byte[] processData(byte[] data, CryptoKey key) {
// 验证输入参数
validateInput(data, key);

// 设置密钥
processor.setKey(key);

// 执行CE加速处理
return processor.processWithCryptoExtensions(data);
}

public void cleanup() {
if (processor != null) {
processor.secureCleanup();
processor = null;
}
}

public AlgorithmType getAlgorithmType() {
return AlgorithmType.AES_CE;
}

private void validateInput(byte[] data, CryptoKey key) {
if (data == null || data.length == 0) {
throw new IllegalArgumentException("Invalid data for AES-CE processing");
}
if (key == null || !key.isValidForAES()) {
throw new IllegalArgumentException("Invalid key for AES-CE processing");
}
}
}

// AES-NEON策略实现
class AESNeonStrategy implements CryptoAlgorithmStrategy {
private AESNeonProcessor processor;
private CryptoContext context;

public boolean isSupported() {
return NeonDetector.isAvailable();
}

public CryptoPerformance getPerformance() {
return new CryptoPerformance(
PERFORMANCE_HIGH, // 吞吐量
LATENCY_LOW, // 延迟
ENERGY_EFFICIENT_MEDIUM // 能效
);
}

public void initialize(CryptoContext context) {
this.context = context;
this.processor = new AESNeonProcessor();
processor.configureForNeon(context);
}

public byte[] processData(byte[] data, CryptoKey key) {
// 验证输入参数
validateInput(data, key);

// 设置密钥
processor.setKey(key);

// 执行NEON加速处理
return processor.processWithNeon(data);
}

public void cleanup() {
if (processor != null) {
processor.secureCleanup();
processor = null;
}
}

public AlgorithmType getAlgorithmType() {
return AlgorithmType.AES_NEON;
}

private void validateInput(byte[] data, CryptoKey key) {
if (data == null || data.length == 0) {
throw new IllegalArgumentException("Invalid data for AES-NEON processing");
}
if (key == null || !key.isValidForAES()) {
throw new IllegalArgumentException("Invalid key for AES-NEON processing");
}
}
}

// AES通用策略实现
class AESGenericStrategy implements CryptoAlgorithmStrategy {
private AESGenericProcessor processor;
private CryptoContext context;

public boolean isSupported() {
return true; // 通用实现总是可用
}

public CryptoPerformance getPerformance() {
return new CryptoPerformance(
PERFORMANCE_LOW, // 吞吐量
LATENCY_HIGH, // 延迟
ENERGY_EFFICIENT_LOW // 能效
);
}

public void initialize(CryptoContext context) {
this.context = context;
this.processor = new AESGenericProcessor();
processor.configureGeneric(context);
}

public byte[] processData(byte[] data, CryptoKey key) {
// 验证输入参数
validateInput(data, key);

// 设置密钥
processor.setKey(key);

// 执行通用软件处理
return processor.processGeneric(data);
}

public void cleanup() {
if (processor != null) {
processor.secureCleanup();
processor = null;
}
}

public AlgorithmType getAlgorithmType() {
return AlgorithmType.AES_GENERIC;
}

private void validateInput(byte[] data, CryptoKey key) {
if (data == null || data.length == 0) {
throw new IllegalArgumentException("Invalid data for AES generic processing");
}
if (key == null || !key.isValidForAES()) {
throw new IllegalArgumentException("Invalid key for AES generic processing");
}
}
}

// 密码算法策略选择器
class CryptoAlgorithmStrategySelector {
private List<CryptoAlgorithmStrategy> strategies;
private HardwareCapabilities capabilities;
private PerformanceRequirements requirements;

public CryptoAlgorithmStrategySelector() {
strategies = Arrays.asList(
new AESCryptoExtensionsStrategy(),
new AESNeonStrategy(),
new AESGenericStrategy()
);
capabilities = HardwareCapabilities.detect();
requirements = new PerformanceRequirements();
}

public CryptoAlgorithmStrategy selectStrategy(AlgorithmType algorithmType,
CryptoContext context) {
// 更新选择标准
updateSelectionCriteria(context);

// 过滤支持的策略
List<CryptoAlgorithmStrategy> supportedStrategies = strategies.stream()
.filter(strategy -> strategy.isSupported())
.filter(strategy -> matchesAlgorithmType(strategy, algorithmType))
.collect(Collectors.toList());

if (supportedStrategies.isEmpty()) {
throw new NoSuitableStrategyException("No supported strategy for " + algorithmType);
}

// 根据性能要求选择最佳策略
return selectBestStrategy(supportedStrategies, requirements);
}

public List<CryptoAlgorithmStrategy> getSupportedStrategies(AlgorithmType algorithmType) {
return strategies.stream()
.filter(strategy -> strategy.isSupported())
.filter(strategy -> matchesAlgorithmType(strategy, algorithmType))
.collect(Collectors.toList());
}

public StrategySelectionInfo getStrategyInfo(CryptoAlgorithmStrategy strategy) {
return new StrategySelectionInfo(
strategy.getAlgorithmType(),
strategy.getPerformance(),
strategy.isSupported()
);
}

private void updateSelectionCriteria(CryptoContext context) {
requirements.setPriority(context.getPerformancePriority());
requirements.setEnergyConstraints(context.getEnergyConstraints());
requirements.setLatencyRequirements(context.getLatencyRequirements());
requirements.setThroughputRequirements(context.getThroughputRequirements());
}

private boolean matchesAlgorithmType(CryptoAlgorithmStrategy strategy,
AlgorithmType algorithmType) {
return strategy.getAlgorithmType().isCompatibleWith(algorithmType);
}

private CryptoAlgorithmStrategy selectBestStrategy(List<CryptoAlgorithmStrategy> candidates,
PerformanceRequirements requirements) {
return candidates.stream()
.max((s1, s2) -> compareStrategies(s1, s2, requirements))
.orElseThrow(() -> new NoSuitableStrategyException("No suitable strategy found"));
}

private int compareStrategies(CryptoAlgorithmStrategy s1, CryptoAlgorithmStrategy s2,
PerformanceRequirements requirements) {
CryptoPerformance p1 = s1.getPerformance();
CryptoPerformance p2 = s2.getPerformance();

// 基于性能要求的加权比较
double score1 = calculateStrategyScore(p1, requirements);
double score2 = calculateStrategyScore(p2, requirements);

return Double.compare(score1, score2);
}

private double calculateStrategyScore(CryptoPerformance performance,
PerformanceRequirements requirements) {
double score = 0.0;

// 性能优先级权重
switch (requirements.getPriority()) {
case THROUGHPUT:
score += performance.getThroughput() * 0.4;
score += (PerformanceLevel.values().length – performance.getLatency().ordinal()) * 0.3;
score += performance.getEnergyEfficiency() * 0.3;
break;
case LATENCY:
score += (PerformanceLevel.values().length – performance.getLatency().ordinal()) * 0.4;
score += performance.getThroughput() * 0.3;
score += performance.getEnergyEfficiency() * 0.3;
break;
case ENERGY_EFFICIENCY:
score += performance.getEnergyEfficiency() * 0.4;
score += performance.getThroughput() * 0.3;
score += (PerformanceLevel.values().length – performance.getLatency().ordinal()) * 0.3;
break;
case BALANCED:
default:
score += performance.getThroughput() * 0.25;
score += (PerformanceLevel.values().length – performance.getLatency().ordinal()) * 0.25;
score += performance.getEnergyEfficiency() * 0.25;
score += 0.25; // 平衡加成
break;
}

return score;
}
}

// 智能密码处理器
class SmartCryptoProcessor {
private CryptoAlgorithmStrategySelector selector;
private CryptoStatistics statistics;
private StrategyCache strategyCache;

public SmartCryptoProcessor() {
this.selector = new CryptoAlgorithmStrategySelector();
this.statistics = new CryptoStatistics();
this.strategyCache = new StrategyCache();
}

public byte[] processCryptoData(byte[] data, CryptoKey key,
AlgorithmType algorithmType, CryptoContext context) {
long processingStartTime = System.nanoTime();

// 1. 选择或获取缓存的策略
CryptoAlgorithmStrategy strategy = getStrategy(algorithmType, context);

// 2. 初始化策略
strategy.initialize(context);

try {
// 3. 执行密码处理
byte[] result = strategy.processData(data, key);

long processingEndTime = System.nanoTime();
long processingTime = processingEndTime – processingStartTime;

// 4. 记录统计信息
statistics.recordSuccessfulProcessing(
strategy.getAlgorithmType(),
data.length,
processingTime
);

// 5. 缓存策略以备将来使用
cacheStrategy(strategy, algorithmType, context);

return result;

} catch (Exception e) {
// 记录失败统计
statistics.recordFailedProcessing(
strategy.getAlgorithmType(),
data.length,
e
);

throw new CryptoProcessingException("Crypto processing failed", e);

} finally {
// 清理策略资源
strategy.cleanup();
}
}

private CryptoAlgorithmStrategy getStrategy(AlgorithmType algorithmType,
CryptoContext context) {
// 首先检查缓存
CryptoAlgorithmStrategy cachedStrategy = strategyCache.get(algorithmType, context);
if (cachedStrategy != null && cachedStrategy.isSupported()) {
return cachedStrategy;
}

// 选择新策略
return selector.selectStrategy(algorithmType, context);
}

private void cacheStrategy(CryptoAlgorithmStrategy strategy,
AlgorithmType algorithmType, CryptoContext context) {
strategyCache.put(algorithmType, context, strategy);
}

public List<StrategySelectionInfo> getAvailableStrategies(AlgorithmType algorithmType) {
return selector.getSupportedStrategies(algorithmType).stream()
.map(selector::getStrategyInfo)
.collect(Collectors.toList());
}

public CryptoStatistics getProcessingStatistics() {
return new CryptoStatistics(statistics);
}

public void configureProcessor(CryptoConfiguration config) {
// 应用处理器配置
// 可以设置缓存大小、统计收集等
}
}

6.2 模板方法模式在密码算法初始化中的体现

  模板方法模式在密码算法初始化中的体现：

// 密码算法初始化模板
interface CryptoAlgorithmInitializationTemplate {
// 模板方法：定义算法初始化的完整流程
final void initializeAlgorithm() {
try {
// 1. 验证硬件支持
validateHardwareSupport();

// 2. 分配算法上下文
allocateAlgorithmContext();

// 3. 初始化算法参数
initializeAlgorithmParameters();

// 4. 设置性能优化
setupPerformanceOptimizations();

// 5. 配置安全特性
configureSecurityFeatures();

// 6. 验证初始化结果
validateInitializationResult();

onInitializationSuccess();

} catch (CryptoException e) {
onInitializationFailure(e);
throw e;
}
}

// 抽象方法：由具体算法实现的初始化步骤
void validateHardwareSupport();
void allocateAlgorithmContext();
void initializeAlgorithmParameters();
void setupPerformanceOptimizations();
void configureSecurityFeatures();
void validateInitializationResult();

// 钩子方法：可以被子类重写
void onInitializationSuccess() {
System.out.println("Algorithm initialization completed successfully");
}

void onInitializationFailure(CryptoException e) {
System.err.println("Algorithm initialization failed: " + e.getMessage());
e.printStackTrace();
}
}

// AES算法初始化实现
class AESAlgorithmInitialization implements CryptoAlgorithmInitializationTemplate {
private AESContext aesContext;
private HardwareCapabilities hardwareCapabilities;
private AlgorithmParameters algorithmParameters;

public void validateHardwareSupport() {
hardwareCapabilities = HardwareCapabilities.detect();

if (!hardwareCapabilities.hasAES()) {
throw new CryptoException("AES hardware support not available");
}

// 检查具体AES实现的支持情况
if (hardwareCapabilities.hasCryptoExtensions()) {
System.out.println("ARMv8 Crypto Extensions detected for AES");
} else if (hardwareCapabilities.hasNeon()) {
System.out.println("NEON SIMD detected for AES");
} else {
System.out.println("Using generic AES implementation");
}
}

public void allocateAlgorithmContext() {
aesContext = new AESContext();

// 分配密钥调度表
aesContext.keySchedule = allocateKeySchedule();

// 分配工作缓冲区
aesContext.workBuffer = allocateWorkBuffer();

// 分配临时存储
aesContext.tempStorage = allocateTempStorage();

System.out.println("AES algorithm context allocated");
}

public void initializeAlgorithmParameters() {
algorithmParameters = new AlgorithmParameters();

// 设置块大小
algorithmParameters.blockSize = AES_BLOCK_SIZE;

// 设置密钥长度选项
algorithmParameters.supportedKeyLengths = Arrays.asList(128, 192, 256);

// 设置支持的模式
algorithmParameters.supportedModes = Arrays.asList(
CipherMode.ECB, CipherMode.CBC, CipherMode.CTR,
CipherMode.XTS, CipherMode.CCM, CipherMode.GCM
);

// 设置填充方案
algorithmParameters.supportedPadding = Arrays.asList(
PaddingScheme.NONE, PaddingScheme.PKCS7, PaddingScheme.ISO10126
);

System.out.println("AES algorithm parameters initialized");
}

public void setupPerformanceOptimizations() {
if (hardwareCapabilities.hasCryptoExtensions()) {
// 配置ARMv8 Crypto Extensions优化
configureCryptoExtensionsOptimizations();
} else if (hardwareCapabilities.hasNeon()) {
// 配置NEON SIMD优化
configureNeonOptimizations();
} else {
// 配置通用软件优化
configureGenericOptimizations();
}

// 设置缓存对齐
setupCacheAlignment();

// 配置预取策略
setupPrefetchStrategy();

System.out.println("AES performance optimizations configured");
}

public void configureSecurityFeatures() {
// 配置侧信道攻击防护
configureSideChannelProtection();

// 设置密钥安全性
configureKeySecurity();

// 配置内存安全性
configureMemorySecurity();

// 设置审计和监控
configureAuditingAndMonitoring();

System.out.println("AES security features configured");
}

public void validateInitializationResult() {
// 验证上下文完整性
validateContextIntegrity();

// 测试基本功能
testBasicFunctionality();

// 验证性能特征
validatePerformanceCharacteristics();

// 检查安全配置
checkSecurityConfiguration();

System.out.println("AES initialization result validated");
}

protected void onInitializationSuccess() {
super.onInitializationSuccess();
System.out.println("AES algorithm initialization completed successfully");

// 执行初始化后设置
performPostInitializationSetup();
}

protected void onInitializationFailure(CryptoException e) {
super.onInitializationFailure(e);
System.out.println("AES algorithm initialization failed, cleaning up resources");

// 执行清理操作
performCleanupOnFailure();
}

// AES特定的辅助方法
private byte[] allocateKeySchedule() {
return new byte[MAX_AES_KEY_SCHEDULE_SIZE];
}

private byte[] allocateWorkBuffer() {
return new byte[AES_WORK_BUFFER_SIZE];
}

private byte[] allocateTempStorage() {
return new byte[AES_TEMP_STORAGE_SIZE];
}

private void configureCryptoExtensionsOptimizations() {
// ARMv8 Crypto Extensions特定的优化
aesContext.useCryptoExtensions = true;
aesContext.pipelineDepth = 4;
aesContext.vectorWidth = 128;
}

private void configureNeonOptimizations() {
// NEON SIMD特定的优化
aesContext.useNeon = true;
aesContext.pipelineDepth = 2;
aesContext.vectorWidth = 64;
}

private void configureGenericOptimizations() {
// 通用软件优化
aesContext.useGeneric = true;
aesContext.pipelineDepth = 1;
aesContext.vectorWidth = 32;
}

private void setupCacheAlignment() {
// 确保缓冲区按缓存行对齐
alignBuffersToCacheLine();
}

private void setupPrefetchStrategy() {
// 配置数据预取策略
configureDataPrefetch();
}

private void configureSideChannelProtection() {
// 实施时间均衡化
enableTimingEqualization();

// 配置缓存攻击防护
enableCacheAttackProtection();
}

private void configureKeySecurity() {
// 实施密钥清理策略
enableKeyScrubbing();

// 配置密钥存储保护
enableKeyStorageProtection();
}

private void configureMemorySecurity() {
// 启用内存清理
enableMemoryScrubbing();

// 配置安全内存分配
enableSecureMemoryAllocation();
}

private void configureAuditingAndMonitoring() {
// 启用操作审计
enableOperationAuditing();

// 配置性能监控
enablePerformanceMonitoring();
}

private void validateContextIntegrity() {
// 检查上下文数据完整性
if (aesContext.keySchedule == null || aesContext.workBuffer == null) {
throw new CryptoException("AES context integrity check failed");
}
}

private void testBasicFunctionality() {
// 执行基本功能测试
try {
performBasicFunctionalityTest();
} catch (Exception e) {
throw new CryptoException("AES basic functionality test failed", e);
}
}

private void validatePerformanceCharacteristics() {
// 验证性能特征是否符合预期
PerformanceCharacteristics perf = measurePerformanceCharacteristics();
if (!perf.isWithinAcceptableRange()) {
throw new CryptoException("AES performance characteristics validation failed");
}
}

private void checkSecurityConfiguration() {
// 检查安全配置是否正确
SecurityConfiguration sec = reviewSecurityConfiguration();
if (!sec.isSecure()) {
throw new CryptoException("AES security configuration check failed");
}
}

private void performPostInitializationSetup() {
// 执行初始化后的设置任务
setupAlgorithmRegistration();
initializePerformanceCounters();
configureRuntimeMonitoring();
}

private void performCleanupOnFailure() {
// 清理失败情况下的资源
secureCleanupContext();
logInitializationFailure();
notifyMonitoringSystem();
}

private void performBasicFunctionalityTest() {
// 实现基本功能测试逻辑
System.out.println("Performing AES basic functionality test");
}

private PerformanceCharacteristics measurePerformanceCharacteristics() {
// 测量性能特征
return new PerformanceCharacteristics();
}

private SecurityConfiguration reviewSecurityConfiguration() {
// 审查安全配置
return new SecurityConfiguration();
}

private void setupAlgorithmRegistration() {
// 设置算法注册
}

private void initializePerformanceCounters() {
// 初始化性能计数器
}

private void configureRuntimeMonitoring() {
// 配置运行时监控
}

private void secureCleanupContext() {
// 安全清理上下文
}

private void logInitializationFailure() {
// 记录初始化失败
}

private void notifyMonitoringSystem() {
// 通知监控系统
}

// 其他辅助方法
private void alignBuffersToCacheLine() {
// 实现缓冲区缓存行对齐
}

private void configureDataPrefetch() {
// 实现数据预取配置
}

private void enableTimingEqualization() {
// 启用时间均衡化
}

private void enableCacheAttackProtection() {
// 启用缓存攻击防护
}

private void enableKeyScrubbing() {
// 启用密钥清理
}

private void enableKeyStorageProtection() {
// 启用密钥存储保护
}

private void enableMemoryScrubbing() {
// 启用内存清理
}

private void enableSecureMemoryAllocation() {
// 启用安全内存分配
}

private void enableOperationAuditing() {
// 启用操作审计
}

private void enablePerformanceMonitoring() {
// 启用性能监控
}
}

// SM3算法初始化实现
class SM3AlgorithmInitialization implements CryptoAlgorithmInitializationTemplate {
private SM3Context sm3Context;
private HardwareCapabilities hardwareCapabilities;
private HashAlgorithmParameters hashParameters;

public void validateHardwareSupport() {
hardwareCapabilities = HardwareCapabilities.detect();

if (!hardwareCapabilities.hasHashSupport()) {
throw new CryptoException("Hash hardware support not available");
}

// 检查SM3特定的硬件支持
if (hardwareCapabilities.hasCryptoExtensions()) {
System.out.println("ARMv8 Crypto Extensions detected for SM3");
} else if (hardwareCapabilities.hasNeon()) {
System.out.println("NEON SIMD detected for SM3");
} else {
System.out.println("Using generic SM3 implementation");
}
}

public void allocateAlgorithmContext() {
sm3Context = new SM3Context();

// 分配哈希状态
sm3Context.hashState = allocateHashState();

// 分配消息缓冲区
sm3Context.messageBuffer = allocateMessageBuffer();

// 分配长度计数器
sm3Context.lengthCounter = allocateLengthCounter();

System.out.println("SM3 algorithm context allocated");
}

public void initializeAlgorithmParameters() {
hashParameters = new HashAlgorithmParameters();

// 设置哈希输出长度
hashParameters.outputLength = SM3_OUTPUT_LENGTH;

// 设置块大小
hashParameters.blockSize = SM3_BLOCK_SIZE;

// 设置支持的填充方案
hashParameters.supportedPadding = Arrays.asList(PaddingScheme.STANDARD);

// 设置最大输入长度
hashParameters.maxInputLength = SM3_MAX_INPUT_LENGTH;

System.out.println("SM3 algorithm parameters initialized");
}

public void setupPerformanceOptimizations() {
if (hardwareCapabilities.hasCryptoExtensions()) {
// 配置ARMv8 Crypto Extensions优化
configureCryptoExtensionsOptimizations();
} else if (hardwareCapabilities.hasNeon()) {
// 配置NEON SIMD优化
configureNeonOptimizations();
} else {
// 配置通用软件优化
configureGenericOptimizations();
}

// 设置消息调度优化
setupMessageSchedulingOptimizations();

// 配置压缩函数优化
setupCompressionFunctionOptimizations();

System.out.println("SM3 performance optimizations configured");
}

public void configureSecurityFeatures() {
// 配置长度扩展攻击防护
configureLengthExtensionProtection();

// 设置哈希状态安全性
configureHashStateSecurity();

// 配置消息完整性保护
configureMessageIntegrityProtection();

System.out.println("SM3 security features configured");
}

public void validateInitializationResult() {
// 验证上下文完整性
validateContextIntegrity();

// 测试哈希功能
testHashFunctionality();

// 验证已知答案测试
validateKnownAnswerTests();

System.out.println("SM3 initialization result validated");
}

protected void onInitializationSuccess() {
super.onInitializationSuccess();
System.out.println("SM3 algorithm initialization completed successfully");
}

protected void onInitializationFailure(CryptoException e) {
super.onInitializationFailure(e);
System.out.println("SM3 algorithm initialization failed, performing cleanup");
}

// SM3特定的辅助方法实现
private byte[] allocateHashState() {
return new byte[SM3_HASH_STATE_SIZE];
}

private byte[] allocateMessageBuffer() {
return new byte[SM3_MESSAGE_BUFFER_SIZE];
}

private byte[] allocateLengthCounter() {
return new byte[SM3_LENGTH_COUNTER_SIZE];
}

private void configureCryptoExtensionsOptimizations() {
// ARMv8 Crypto Extensions特定的优化
sm3Context.useCryptoExtensions = true;
sm3Context.parallelProcessing = true;
}

private void configureNeonOptimizations() {
// NEON SIMD特定的优化
sm3Context.useNeon = true;
sm3Context.vectorProcessing = true;
}

private void configureGenericOptimizations() {
// 通用软件优化
sm3Context.useGeneric = true;
sm3Context.optimizedScheduling = true;
}

private void setupMessageSchedulingOptimizations() {
// 消息调度优化
}

private void setupCompressionFunctionOptimizations() {
// 压缩函数优化
}

private void configureLengthExtensionProtection() {
// 长度扩展攻击防护
}

private void configureHashStateSecurity() {
// 哈希状态安全性
}

private void configureMessageIntegrityProtection() {
// 消息完整性保护
}

private void validateContextIntegrity() {
// 上下文完整性验证
}

private void testHashFunctionality() {
// 哈希功能测试
}

private void validateKnownAnswerTests() {
// 已知答案测试验证
}
}

// 密码算法初始化工厂
class CryptoAlgorithmInitializationFactory {
public static CryptoAlgorithmInitializationTemplate createInitializer(AlgorithmType type) {
switch (type) {
case AES:
return new AESAlgorithmInitialization();
case SM3:
return new SM3AlgorithmInitialization();
case SM4:
return new SM4AlgorithmInitialization();
default:
throw new IllegalArgumentException("Unsupported algorithm type: " + type);
}
}

public static List<AlgorithmType> getSupportedAlgorithms() {
return Arrays.asList(AlgorithmType.AES, AlgorithmType.SM3, AlgorithmType.SM4);
}
}

// 密码算法管理系统
class CryptoAlgorithmManagementSystem {
private Map<AlgorithmType, CryptoAlgorithmInitializationTemplate> initializers;
private AlgorithmStatusTracker statusTracker;
private InitializationStatistics statistics;

public CryptoAlgorithmManagementSystem() {
initializers = new HashMap<>();
statusTracker = new AlgorithmStatusTracker();
statistics = new InitializationStatistics();

// 注册所有支持的算法初始化器
registerAllInitializers();
}

public void initializeAlgorithm(AlgorithmType algorithmType) {
long initializationStartTime = System.nanoTime();

try {
// 获取初始化器
CryptoAlgorithmInitializationTemplate initializer =
initializers.get(algorithmType);

if (initializer == null) {
throw new CryptoException("No initializer available for " + algorithmType);
}

// 执行初始化
initializer.initializeAlgorithm();

long initializationEndTime = System.nanoTime();
long initializationTime = initializationEndTime – initializationStartTime;

// 记录成功状态
statusTracker.markAlgorithmInitialized(algorithmType, true);
statistics.recordSuccessfulInitialization(algorithmType, initializationTime);

System.out.println("Algorithm " + algorithmType + " initialized successfully in " +
initializationTime + " ns");

} catch (CryptoException e) {
// 记录失败状态
statusTracker.markAlgorithmInitialized(algorithmType, false);
statistics.recordFailedInitialization(algorithmType, e);

System.err.println("Algorithm " + algorithmType + " initialization failed: " +
e.getMessage());

throw e;
}
}

public void initializeAllAlgorithms() {
for (AlgorithmType type : initializers.keySet()) {
try {
initializeAlgorithm(type);
} catch (CryptoException e) {
System.err.println("Failed to initialize " + type + ", continuing with others");
}
}
}

public AlgorithmStatus getAlgorithmStatus(AlgorithmType type) {
return statusTracker.getAlgorithmStatus(type);
}

public InitializationStatistics getInitializationStatistics() {
return new InitializationStatistics(statistics);
}

public List<AlgorithmType> getSupportedAlgorithms() {
return new ArrayList<>(initializers.keySet());
}

private void registerAllInitializers() {
for (AlgorithmType type : CryptoAlgorithmInitializationFactory.getSupportedAlgorithms()) {
initializers.put(type,
CryptoAlgorithmInitializationFactory.createInitializer(type));
}
}
}

6.3 观察者模式在密码学监控中的体现

  观察者模式在密码学监控中的体现：

// 密码学事件类型
enum CryptoEventType {
ALGORITHM_INITIALIZATION_STARTED,
ALGORITHM_INITIALIZATION_COMPLETED,
ALGORITHM_INITIALIZATION_FAILED,
CRYPTO_OPERATION_STARTED,
CRYPTO_OPERATION_COMPLETED,
CRYPTO_OPERATION_FAILED,
PERFORMANCE_THRESHOLD_EXCEEDED,
SECURITY_VIOLATION_DETECTED,
HARDWARE_ERROR_OCCURRED,
MEMORY_CORRUPTION_DETECTED,
SIDE_CHANNEL_ATTACK_DETECTED,
ALGORITHM_COMPLIANCE_VIOLATION
}

// 密码学事件
class CryptoEvent {
private CryptoEventType type;
private Object source;
private Map<String, Object> eventData;
private long timestamp;
private String description;

public CryptoEvent(CryptoEventType type, Object source, String description) {
this.type = type;
this.source = source;
this.description = description;
this.timestamp = System.nanoTime();
this.eventData = new HashMap<>();
}

// Getters and setters
public CryptoEventType getType() { return type; }
public Object getSource() { return source; }
public long getTimestamp() { return timestamp; }
public String getDescription() { return description; }
public Map<String, Object> getEventData() { return eventData; }

public void addEventData(String key, Object value) {
eventData.put(key, value);
}

public Object getEventData(String key) {
return eventData.get(key);
}
}

// 密码学观察者接口
interface CryptoObserver {
void onCryptoEvent(CryptoEvent event);
boolean isInterestedInEvent(CryptoEventType type);
String getObserverName();
ObserverPriority getPriority();
}

// 密码学性能监控观察者
class CryptoPerformanceMonitor implements CryptoObserver {
private Map<CryptoEventType, Long> eventCounts;
private Map<String, Long> operationLatencies;
private List<PerformanceAlert> alerts;
private PerformanceThresholds thresholds;

public CryptoPerformanceMonitor() {
this.eventCounts = new HashMap<>();
this.operationLatencies = new HashMap<>();
this.alerts = new ArrayList<>();
this.thresholds = new PerformanceThresholds();
}

public void onCryptoEvent(CryptoEvent event) {
// 更新事件计数
eventCounts.merge(event.getType(), 1L, Long::longValue);

// 记录操作延迟
if (event.getEventData().containsKey("latency")) {
long latency = (Long) event.getEventData().get("latency");
String operationKey = event.getType().name();
operationLatencies.merge(operationKey, latency, (old, newVal) -> (old + newVal) / 2);
}

// 检查性能阈值
checkPerformanceThresholds(event);

// 生成性能报告
if (shouldGenerateReport(event)) {
generatePerformanceReport();
}
}

public boolean isInterestedInEvent(CryptoEventType type) {
return type == CryptoEventType.CRYPTO_OPERATION_COMPLETED ||
type == CryptoEventType.CRYPTO_OPERATION_FAILED ||
type == CryptoEventType.PERFORMANCE_THRESHOLD_EXCEEDED;
}

public String getObserverName() {
return "CryptoPerformanceMonitor";
}

public ObserverPriority getPriority() {
return ObserverPriority.HIGH;
}

private void checkPerformanceThresholds(CryptoEvent event) {
switch (event.getType()) {
case CRYPTO_OPERATION_COMPLETED:
checkOperationPerformance(event);
break;
case PERFORMANCE_THRESHOLD_EXCEEDED:
handlePerformanceAlert(event);
break;
}
}

private void checkOperationPerformance(CryptoEvent event) {
if (event.getEventData().containsKey("latency")) {
long latency = (Long) event.getEventData().get("latency");
String algorithm = (String) event.getEventData().get("algorithm");

long threshold = getLatencyThreshold(algorithm);
if (latency > threshold) {
alerts.add(new PerformanceAlert(
"High latency for " + algorithm + ": " + latency + " ns",
AlertSeverity.WARNING
));
}
}
}

private void handlePerformanceAlert(CryptoEvent event) {
alerts.add(new PerformanceAlert(
"Performance threshold exceeded: " + event.getDescription(),
AlertSeverity.CRITICAL
));
}

private boolean shouldGenerateReport(CryptoEvent event) {
// 每1000个事件生成一次报告
return eventCounts.values().stream().mapToLong(Long::longValue).sum() % 1000 == 0;
}

private void generatePerformanceReport() {
System.out.println("=== Crypto Performance Report ===");
System.out.println("Event Counts:");
eventCounts.forEach((type, count) ->
System.out.println(" " + type + ": " + count));

System.out.println("Average Latencies:");
operationLatencies.forEach((operation, latency) ->
System.out.println(" " + operation + ": " + latency + " ns"));

System.out.println("Active Alerts: " + alerts.size());
System.out.println("================================");
}

private long getLatencyThreshold(String algorithm) {
// 根据算法类型返回延迟阈值
switch (algorithm) {
case "AES-CE": return 1000; // 1微秒
case "AES-NEON": return 5000; // 5微秒
case "SM3-CE": return 2000; // 2微秒
default: return 10000; // 10微秒
}
}

public List<PerformanceAlert> getActiveAlerts() {
return new ArrayList<>(alerts);
}

public void clearAlerts() {
alerts.clear();
}
}

// 密码学安全监控观察者
class CryptoSecurityMonitor implements CryptoObserver {
private List<SecurityEvent> securityEvents;
private SecurityState securityState;
private SecurityPolicy policy;

public CryptoSecurityMonitor() {
this.securityEvents = new ArrayList<>();
this.securityState = new SecurityState();
this.policy = new SecurityPolicy();
}

public void onCryptoEvent(CryptoEvent event) {
// 分析事件的安全含义
analyzeSecurityImplications(event);

// 检查安全违规
checkSecurityViolations(event);

// 更新安全状态
updateSecurityState(event);

// 记录安全相关事件
if (isSecurityRelevant(event)) {
recordSecurityEvent(event);
}
}

public boolean isInterestedInEvent(CryptoEventType type) {
return type == CryptoEventType.SECURITY_VIOLATION_DETECTED ||
type == CryptoEventType.CRYPTO_OPERATION_STARTED ||
type == CryptoEventType.CRYPTO_OPERATION_COMPLETED ||
type == CryptoEventType.ALGORITHM_INITIALIZATION_FAILED;
}

public String getObserverName() {
return "CryptoSecurityMonitor";
}

public ObserverPriority getPriority() {
return ObserverPriority.CRITICAL;
}

private void analyzeSecurityImplications(CryptoEvent event) {
switch (event.getType()) {
case CRYPTO_OPERATION_STARTED:
verifyOperationSecurity(event);
break;
case SECURITY_VIOLATION_DETECTED:
handleSecurityViolation(event);
break;
case ALGORITHM_INITIALIZATION_FAILED:
handleInitializationFailure(event);
break;
}
}

private void checkSecurityViolations(CryptoEvent event) {
if (violatesSecurityPolicy(event)) {
securityEvents.add(new SecurityEvent(
SecurityEventType.POLICY_VIOLATION,
event.getDescription(),
event.getTimestamp()
));
}
}

private void updateSecurityState(CryptoEvent event) {
switch (event.getType()) {
case CRYPTO_OPERATION_STARTED:
securityState.setState(SecurityStateType.OPERATION_IN_PROGRESS);
break;
case CRYPTO_OPERATION_COMPLETED:
securityState.setState(SecurityStateType.OPERATION_COMPLETED);
break;
case SECURITY_VIOLATION_DETECTED:
securityState.setState(SecurityStateType.SECURITY_VIOLATION);
break;
}
}

private boolean isSecurityRelevant(CryptoEvent event) {
return event.getType() == CryptoEventType.SECURITY_VIOLATION_DETECTED ||
event.getType() == CryptoEventType.CRYPTO_OPERATION_STARTED ||
event.getType() == CryptoEventType.CRYPTO_OPERATION_COMPLETED;
}

private void recordSecurityEvent(CryptoEvent event) {
SecurityEvent secEvent = new SecurityEvent(
mapCryptoEventToSecurityEvent(event.getType()),
event.getDescription(),
event.getTimestamp()
);

// 添加额外安全相关数据
secEvent.addData("source_component", event.getSource());
secEvent.addData("event_data", event.getEventData());

securityEvents.add(secEvent);
}

private SecurityEventType mapCryptoEventToSecurityEvent(CryptoEventType cryptoType) {
switch (cryptoType) {
case SECURITY_VIOLATION_DETECTED:
return SecurityEventType.SECURITY_VIOLATION;
case CRYPTO_OPERATION_STARTED:
return SecurityEventType.OPERATION_STARTED;
case CRYPTO_OPERATION_COMPLETED:
return SecurityEventType.OPERATION_COMPLETED;
default:
return SecurityEventType.GENERAL_EVENT;
}
}

private void verifyOperationSecurity(CryptoEvent event) {
// 验证操作安全性
String algorithm = (String) event.getEventData().get("algorithm");
if (algorithm != null && !isAlgorithmSecure(algorithm)) {
logSecurityIssue("Insecure algorithm usage: " + algorithm, event);
}
}

private void handleSecurityViolation(CryptoEvent event) {
// 处理安全违规
logSecurityIssue("Security violation detected: " + event.getDescription(), event);

// 可能触发安全响应措施
triggerSecurityResponse(event);
}

private void handleInitializationFailure(CryptoEvent event) {
// 处理初始化失败
logSecurityIssue("Algorithm initialization failure: " + event.getDescription(), event);
}

private boolean violatesSecurityPolicy(CryptoEvent event) {
return policy.isViolation(event);
}

private void logSecurityIssue(String message, CryptoEvent event) {
System.err.println("[CRYPTO SECURITY] " + message + " at " + event.getType());
}

private void triggerSecurityResponse(CryptoEvent event) {
// 触发安全响应措施
System.out.println("Triggering crypto security response for event: " + event.getType());
}

private boolean isAlgorithmSecure(String algorithm) {
// 检查算法是否安全
return SecurityChecker.isAlgorithmSecure(algorithm);
}

public SecurityState getCurrentSecurityState() {
return new SecurityState(securityState);
}

public List<SecurityEvent> getSecurityEvents() {
return new ArrayList<>(securityEvents);
}
}

// 密码学诊断观察者
class CryptoDiagnosticObserver implements CryptoObserver {
private CryptoDiagnosticData diagnosticData;
private DiagnosticThresholds thresholds;
private List<DiagnosticIssue> issues;

public CryptoDiagnosticObserver() {
this.diagnosticData = new CryptoDiagnosticData();
this.thresholds = new DiagnosticThresholds();
this.issues = new ArrayList<>();
}

public void onCryptoEvent(CryptoEvent event) {
// 收集诊断数据
collectDiagnosticData(event);

// 分析密码学健康状态
analyzeCryptoHealth(event);

// 检测密码学问题
detectCryptoIssues(event);

// 生成诊断报告
if (shouldGenerateDiagnosticReport(event)) {
generateDiagnosticReport();
}
}

public boolean isInterestedInEvent(CryptoEventType type) {
return true; // 诊断观察者关注所有事件
}

public String getObserverName() {
return "CryptoDiagnostic";
}

public ObserverPriority getPriority() {
return ObserverPriority.MEDIUM;
}

private void collectDiagnosticData(CryptoEvent event) {
// 收集各种诊断指标
diagnosticData.recordEvent(event);

// 更新统计信息
updateDiagnosticStatistics(event);
}

private void analyzeCryptoHealth(CryptoEvent event) {
// 分析算法使用模式
analyzeAlgorithmUsagePatterns(event);

// 检查硬件利用率
checkHardwareUtilization(event);

// 评估性能稳定性
assessPerformanceStability(event);
}

private void detectCryptoIssues(CryptoEvent event) {
// 检测算法故障
detectAlgorithmFaults(event);

// 检测硬件故障
detectHardwareFaults(event);

// 检测性能问题
detectPerformanceIssues(event);

// 检测安全问题
detectSecurityIssues(event);
}

private void analyzeAlgorithmUsagePatterns(CryptoEvent event) {
// 分析算法使用模式
if (event.getType() == CryptoEventType.CRYPTO_OPERATION_COMPLETED) {
diagnosticData.analyzeAlgorithmUsage(event);
}
}

private void checkHardwareUtilization(CryptoEvent event) {
// 检查硬件利用率
double utilization = diagnosticData.getHardwareUtilization();
if (utilization > thresholds.getMaxHardwareUtilization()) {
issues.add(new DiagnosticIssue(
"High hardware utilization detected",
IssueSeverity.WARNING,
"Utilization: " + utilization + "%"
));
}
}

private void assessPerformanceStability(CryptoEvent event) {
// 评估性能稳定性
double stability = diagnosticData.getPerformanceStability();
if (stability < thresholds.getMinPerformanceStability()) {
issues.add(new DiagnosticIssue(
"Low performance stability detected",
IssueSeverity.WARNING,
"Stability: " + stability + "%"
));
}
}

private void detectAlgorithmFaults(CryptoEvent event) {
// 检测算法故障
if (event.getType() == CryptoEventType.CRYPTO_OPERATION_FAILED) {
String algorithm = (String) event.getEventData().get("algorithm");
issues.add(new DiagnosticIssue(
"Algorithm operation failed",
IssueSeverity.ERROR,
"Algorithm: " + algorithm + ", Error: " + event.getDescription()
));
}
}

private void detectHardwareFaults(CryptoEvent event) {
// 检测硬件故障
if (event.getType() == CryptoEventType.HARDWARE_ERROR_OCCURRED) {
issues.add(new DiagnosticIssue(
"Hardware error in crypto subsystem",
IssueSeverity.CRITICAL,
"Hardware: " + event.getEventData().get("hardware") +
", Error: " + event.getDescription()
));
}
}

private void detectPerformanceIssues(CryptoEvent event) {
// 检测性能问题
if (event.getType() == CryptoEventType.PERFORMANCE_THRESHOLD_EXCEEDED) {
issues.add(new DiagnosticIssue(
"Crypto performance threshold exceeded",
IssueSeverity.WARNING,
"Threshold: " + event.getEventData().get("threshold") +
", Actual: " + event.getEventData().get("actual")
));
}
}

private void detectSecurityIssues(CryptoEvent event) {
// 检测安全问题
if (event.getType() == CryptoEventType.SECURITY_VIOLATION_DETECTED ||
event.getType() == CryptoEventType.SIDE_CHANNEL_ATTACK_DETECTED) {
issues.add(new DiagnosticIssue(
"Security issue detected in crypto subsystem",
IssueSeverity.CRITICAL,
"Type: " + event.getType() + ", Details: " + event.getDescription()
));
}
}

private boolean shouldGenerateDiagnosticReport(CryptoEvent event) {
// 定期生成诊断报告
return diagnosticData.getEventCount() % 500 == 0;
}

private void generateDiagnosticReport() {
System.out.println("=== Crypto Diagnostic Report ===");
System.out.println("Total Events Processed: " + diagnosticData.getEventCount());
System.out.println("Hardware Utilization: " + diagnosticData.getHardwareUtilization() + "%");
System.out.println("Performance Stability: " + diagnosticData.getPerformanceStability() + "%");
System.out.println("Detected Issues: " + issues.size());

if (!issues.isEmpty()) {
System.out.println("Issues:");
for (DiagnosticIssue issue : issues) {
System.out.println(" [" + issue.getSeverity() + "] " + issue.getDescription());
if (issue.getDetails() != null) {
System.out.println(" Details: " + issue.getDetails());
}
}
}

System.out.println("===============================");
}

private void updateDiagnosticStatistics(CryptoEvent event) {
// 更新诊断统计信息
diagnosticData.updateStatistics(event);
}

public CryptoDiagnosticData getDiagnosticData() {
return new CryptoDiagnosticData(diagnosticData);
}

public List<DiagnosticIssue> getDetectedIssues() {
return new ArrayList<>(issues);
}

public void clearIssues() {
issues.clear();
}
}

// 密码学观察者管理器
class CryptoObserverManager {
private Map<String, CryptoObserver> observers;
private Map<CryptoEventType, List<CryptoObserver>> eventSubscriptions;
private CryptoEventNotificationThread notificationThread;