防不住未来的量子黑客，2026年的大厂高管居然开始用“飞鸽传书”送机密？

import time
from typing import Dict, List, Optional
from dataclasses import dataclass
from enum import Enum

@dataclass
class EncryptedAsset:
    asset_id: str
    encryption_algorithm: str
    key_length_bits: int
    creation_timestamp: float
    required_confidentiality_years: int
    data_sensitivity_level: str  # "public", "internal", "confidential", "top_secret"

class HarvestNowDecryptLaterRiskModel:
    """评估‘先收集后解密’攻击下的资产风险暴露窗口"""
    
    # 基于NIST和后量子迁移路线图的保守估计
    QUANTUM_THREAT_TIMELINE = {
        "RSA-2048": 2032,   # 预计可被实用化量子计算机破解的年份
        "ECC-P256": 2030,
        "AES-128": 2035,
        "CRYSTALS-Kyber-768": None  # 目前认为抗量子
    }
    
    def calculate_exposure_window(self, asset: EncryptedAsset) -> Optional[int]:
        """计算资产在量子威胁下的实际暴露年数"""
        if asset.required_confidentiality_years <= 0:
            return 0
            
        threat_year = self.QUANTUM_THREAT_TIMELINE.get(asset.encryption_algorithm)
        if threat_year is None:
            return 0  # 抗量子算法暂视为安全
            
        current_year = int(time.strftime("%Y"))
        breach_year = max(current_year, threat_year)
        confidentiality_end_year = int(time.strftime("%Y", time.gmtime(asset.creation_timestamp))) + asset.required_confidentiality_years
        
        if breach_year >= confidentiality_end_year:
            return 0  # 保密期结束前不会被破解
        return confidentiality_end_year - breach_year

    def assess_trust_collapse_risk(self, asset: EncryptedAsset) -> Dict[str, any]:
        """综合评估信任坍缩风险等级"""
        exposure_years = self.calculate_exposure_window(asset)
        
        risk_factors = {
            "exposure_years": exposure_years,
            "sensitivity_multiplier": {"top_secret": 4, "confidential": 3, "internal": 2, "public": 1}.get(asset.data_sensitivity_level, 1),
            "algorithm_obsolescence_rate": 1.0 if asset.encryption_algorithm in ["RSA-1024", "DES"] else 0.5,
            "data_value_decay_factor": max(0.1, 1.0 - (exposure_years / asset.required_confidentiality_years))
        }
        
        composite_risk_score = (
            risk_factors["exposure_years"] * 
            risk_factors["sensitivity_multiplier"] * 
            risk_factors["algorithm_obsolescence_rate"] *
            (1.0 / risk_factors["data_value_decay_factor"])
        )
        
        return {
            "risk_score": min(100.0, composite_risk_score),
            "recommended_action": self._get_mitigation_strategy(composite_risk_score),
            "trust_confidence_level": max(0.0, 1.0 - (composite_risk_score / 100.0))
        }
    
    def _get_mitigation_strategy(self, risk_score: float) -> str:
        if risk_score > 80:
            return "IMMEDIATE_PHYSICAL_ISOLATION"  # 物理隔离/信使传递
        elif risk_score > 50:
            return "HYBRID_CRYPTO_MIGRATION"      # 混合加密过渡方案
        elif risk_score > 20:
            return "PQC_ALGORITHM_UPGRADE"         # 升级至后量子算法
        else:
            return "MONITOR_ONLY"                  # 仅监控

from typing import Callable, Dict, Any
import hashlib
import hmac

class CryptoAgilityOrchestrator:
    """加密敏捷性编排器：管理多算法共存与平滑过渡"""
    
    def __init__(self):
        self.algorithm_registry: Dict[str, Callable] = {}
        self.transition_policies: Dict[str, Dict] = {}
        
    def register_algorithm(self, name: str, encrypt_fn: Callable, decrypt_fn: Callable, 
                           confidence_score: float, deprecation_date: Optional[str] = None):
        """注册加密算法及其可信度评分"""
        self.algorithm_registry[name] = {
            "encrypt": encrypt_fn,
            "decrypt": decrypt_fn,
            "confidence": confidence_score,  # 0.0-1.0，反映社区审计成熟度
            "deprecation_date": deprecation_date
        }
        
    def hybrid_encrypt(self, plaintext: bytes, primary_algo: str, fallback_algo: str) -> Dict[str, Any]:
        """执行双重加密以应对算法不确定性"""
        if primary_algo not in self.algorithm_registry or fallback_algo not in self.algorithm_registry:
            raise ValueError("Algorithm not registered")
            
        primary = self.algorithm_registry[primary_algo]
        fallback = self.algorithm_registry[fallback_algo]
        
        # 先用高置信度算法加密，再用待验证算法包裹
        inner_ciphertext = primary["encrypt"](plaintext)
        outer_ciphertext = fallback["encrypt"](inner_ciphertext)
        
        # 绑定算法标识与完整性校验
        metadata = f"{primary_algo}|{fallback_algo}".encode()
        mac_key = hashlib.sha256(outer_ciphertext[:32]).digest()
        integrity_tag = hmac.new(mac_key, metadata + outer_ciphertext, hashlib.sha256).hexdigest()
        
        return {
            "ciphertext": outer_ciphertext,
            "metadata": metadata.decode(),
            "integrity_tag": integrity_tag,
            "applied_algorithms": [primary_algo, fallback_algo],
            "combined_confidence": min(primary["confidence"], fallback["confidence"])
        }
        
    def validate_transition_readiness(self, target_algo: str, system_inventory: List[Dict]) -> Dict[str, Any]:
        """评估向目标算法迁移的准备度"""
        incompatible_systems = []
        high_risk_dependencies = []
        
        for sys in system_inventory:
            if sys.get("crypto_hardcoded", False):
                incompatible_systems.append(sys["system_id"])
            if sys.get("legacy_protocol_version", 0) < 3 and target_algo == "CRYSTALS-Kyber-768":
                high_risk_dependencies.append(sys["system_id"])
                
        algo_confidence = self.algorithm_registry.get(target_algo, {}).get("confidence", 0.0)
        
        return {
            "migration_feasibility_score": max(0.0, algo_confidence - 0.1 * len(incompatible_systems) - 0.2 * len(high_risk_dependencies)),
            "incompatible_systems": incompatible_systems,
            "high_risk_dependencies": high_risk_dependencies,
            "recommended_phasing_plan": "parallel_run" if len(incompatible_systems) > 0 else "big_bang"
        }