《沉默的羔羊》与隐私计算：汉尼拔的密码学博弈

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;

import "@openzeppelin/contracts/access/AccessControl.sol";
import "@openzeppelin/contracts/utils/ReentrancyGuard.sol";

contract PrivacyComputation is AccessControl, ReentrancyGuard {
    bytes32 public constant PARTY_ROLE = keccak256("PARTY_ROLE");
    bytes32 public constant COMPUTER_ROLE = keccak256("COMPUTER_ROLE");

    enum ComputationType {
        SECURE_MULTIPARTY, FEDERATED_LEARNING, HOMOMORPHIC, TRUSTED_EXECUTION
    }

    enum ComputationStatus {
        INITIALIZED, SETUP, COMPUTING, COMPLETED, FAILED, VERIFIED
    }

    struct PrivacySession {
        bytes32 sessionId;
        address[] participants;
        ComputationType compType;
        string functionDescription;
        bytes32 functionHash;
        ComputationStatus status;
        uint256 createdAt;
        uint256 completedAt;
        bytes32 resultHash;
        uint256 participantCount;
        uint256 quorum;
    }

    struct DataShare {
        bytes32 sessionId;
        address participant;
        bytes32 dataCommitment;
        bool hasSubmitted;
        bool hasRevealed;
        uint256 submittedAt;
        uint256 revealedAt;
        bytes encryptedData;
    }

    struct ComputationResult {
        bytes32 sessionId;
        bytes result;
        bytes32 resultHash;
        uint256 timestamp;
        bytes proof;
        bool isVerified;
    }

    mapping(bytes32 => PrivacySession) public sessions;
    mapping(bytes32 => mapping(address => DataShare)) public dataShares;
    mapping(bytes32 => ComputationResult) public results;

    uint256 public sessionCount;
    uint256 public totalComputations;
    uint256 public verificationTime;
    uint256 public minParticipants = 2;
    uint256 public maxParticipants = 100;

    event SessionCreated(bytes32 indexed sessionId, address indexed initiator, ComputationType compType);
    event DataSubmitted(bytes32 indexed sessionId, address indexed participant);
    event ComputationCompleted(bytes32 indexed sessionId, bytes32 resultHash);
    event ResultVerified(bytes32 indexed sessionId, bool isValid);

    function createSession(
        address[] memory _participants,
        ComputationType _compType,
        string memory _functionDescription,
        bytes32 _functionHash,
        uint256 _quorum
    ) external returns (bytes32) {
        require(_participants.length >= minParticipants, "Too few participants");
        require(_participants.length <= maxParticipants, "Too many participants");

        sessionCount++;
        bytes32 sessionId = keccak256(abi.encodePacked(
            msg.sender, _participants, _compType, block.timestamp
        ));

        sessions[sessionId] = PrivacySession({
            sessionId: sessionId,
            participants: _participants,
            compType: _compType,
            functionDescription: _functionDescription,
            functionHash: _functionHash,
            status: ComputationStatus.INITIALIZED,
            createdAt: block.timestamp,
            completedAt: 0,
            resultHash: bytes32(0),
            participantCount: _participants.length,
            quorum: _quorum
        });

        for (uint256 i = 0; i < _participants.length; i++) {
            _grantRole(PARTY_ROLE, _participants[i]);
        }

        emit SessionCreated(sessionId, msg.sender, _compType);
        return sessionId;
    }

    function submitData(
        bytes32 _sessionId,
        bytes32 _dataCommitment,
        bytes calldata _encryptedData
    ) external onlyRole(PARTY_ROLE) {
        PrivacySession storage session = sessions[_sessionId];
        require(session.status == ComputationStatus.INITIALIZED, "Session not initialized");

        DataShare storage share = dataShares[_sessionId][msg.sender];
        require(!share.hasSubmitted, "Already submitted");

        share.sessionId = _sessionId;
        share.participant = msg.sender;
        share.dataCommitment = _dataCommitment;
        share.hasSubmitted = true;
        share.submittedAt = block.timestamp;
        share.encryptedData = _encryptedData;

        emit DataSubmitted(_sessionId, msg.sender);

        // Check if all participants submitted
        uint256 submittedCount = 0;
        for (uint256 i = 0; i < session.participants.length; i++) {
            if (dataShares[_sessionId][session.participants[i]].hasSubmitted) {
                submittedCount++;
            }
        }

        if (submittedCount >= session.quorum) {
            session.status = ComputationStatus.SETUP;
        }
    }

    function executeComputation(
        bytes32 _sessionId,
        bytes calldata _result,
        bytes calldata _proof
    ) external onlyRole(COMPUTER_ROLE) returns (bytes32) {
        PrivacySession storage session = sessions[_sessionId];
        require(session.status == ComputationStatus.SETUP, "Session not ready");

        session.status = ComputationStatus.COMPUTING;
        bytes32 resultHash = keccak256(_result);

        results[_sessionId] = ComputationResult({
            sessionId: _sessionId,
            result: _result,
            resultHash: resultHash,
            timestamp: block.timestamp,
            proof: _proof,
            isVerified: false
        });

        session.status = ComputationStatus.COMPLETED;
        session.completedAt = block.timestamp;
        session.resultHash = resultHash;
        totalComputations++;

        emit ComputationCompleted(_sessionId, resultHash);
        return resultHash;
    }

    function verifyResult(bytes32 _sessionId) external onlyRole(COMPUTER_ROLE) {
        ComputationResult storage result = results[_sessionId];
        require(!result.isVerified, "Already verified");

        result.isVerified = true;
        PrivacySession storage session = sessions[_sessionId];
        session.status = ComputationStatus.VERIFIED;

        emit ResultVerified(_sessionId, true);
    }

    function getSessionStatus(bytes32 _sessionId) external view returns (ComputationStatus) {
        return sessions[_sessionId].status;
    }

    function getParticipantCount(bytes32 _sessionId) external view returns (uint256) {
        return sessions[_sessionId].participantCount;
    }
}

import hashlib
import json
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
from datetime import datetime
import random
from cryptography.fernet import Fernet

@dataclass
class PrivacySession:
    session_id: str
    participants: List[str]
    computation_type: str
    status: str
    created_at: datetime
    result_hash: str

class PrivacyComputing:
    def __init__(self):
        self.sessions: Dict[str, PrivacySession] = {}
        self.data_shares: Dict[str, Dict[str, Dict]] = {}
        self.results: Dict[str, Dict] = {}
        self.keys: Dict[str, bytes] = {}

    def create_session(self, participants: List[str], comp_type: str, quorum: int) -> PrivacySession:
        session_id = hashlib.sha256(f"{participants}{comp_type}{datetime.now()}".encode()).hexdigest()[:16]
        session = PrivacySession(
            session_id=session_id,
            participants=participants,
            computation_type=comp_type,
            status='initialized',
            created_at=datetime.now(),
            result_hash=''
        )
        self.sessions[session_id] = session
        self.data_shares[session_id] = {}
        self.keys[session_id] = Fernet.generate_key()
        return session

    def submit_data(self, session_id: str, participant: str, data: Dict) -> Dict:
        session = self.sessions.get(session_id)
        if not session or session.status != 'initialized':
            raise ValueError("Session not available")

        data_str = json.dumps(data, sort_keys=True)
        data_hash = hashlib.sha256(data_str.encode()).hexdigest()

        self.data_shares[session_id][participant] = {
            'data_hash': data_hash,
            'has_submitted': True,
            'submitted_at': datetime.now().isoformat()
        }

        submitted_count = sum(1 for p in self.data_shares[session_id].values() if p.get('has_submitted'))
        if submitted_count >= len(session.participants):
            session.status = 'setup'

        return {'session_id': session_id, 'data_hash': data_hash}

    def secure_computation(self, session_id: str, function: str) -> Dict:
        session = self.sessions.get(session_id)
        if not session or session.status != 'setup':
            raise ValueError("Session not ready")

        session.status = 'computing'

        # Simulate secure computation
        result = {
            'function': function,
            'participant_count': len(session.participants),
            'computation_time': random.uniform(0.1, 2.0),
            'result': f"computed_{hashlib.sha256(session_id.encode()).hexdigest()[:8]}"
        }

        result_str = json.dumps(result, sort_keys=True)
        result_hash = hashlib.sha256(result_str.encode()).hexdigest()

        self.results[session_id] = {
            'result': result,
            'result_hash': result_hash,
            'timestamp': datetime.now().isoformat(),
            'is_verified': False
        }

        session.status = 'completed'
        session.result_hash = result_hash
        return result

    def verify_result(self, session_id: str) -> bool:
        result = self.results.get(session_id)
        if not result:
            return False

        result['is_verified'] = True
        session = self.sessions[session_id]
        session.status = 'verified'
        return True

    def simulate_hannibal_game(self, clarrice_data: Dict, hannibal_data: Dict) -> Dict:
        participants = ['clarrice', 'hannibal']
        session = self.create_session(participants, 'MPC', 2)

        self.submit_data(session.session_id, 'clarrice', clarrice_data)
        self.submit_data(session.session_id, 'hannibal', hannibal_data)

        result = self.secure_computation(session.session_id, 'find_buffalo_bill')
        self.verify_result(session.session_id)

        return {
            'session_id': session.session_id,
            'clarrice_input': clarrice_data,
            'hannibal_input': hannibal_data,
            'computation_result': result,
            'status': session.status
        }

    def compute_privacy_score(self, session_id: str, participant: str) -> float:
        share = self.data_shares.get(session_id, {}).get(participant)
        if not share:
            return 0

        score = 100.0
        if share.get('has_submitted'):
            score -= 20
        return score

computing = PrivacyComputing()
result = computing.simulate_hannibal_game(
    {'trauma': 'lamb_screaming', 'fear': 'darkness', 'goal': 'find_buffalo_bill'},
    {'knowledge': 'buffalo_bill_identity', 'game': 'psychological', 'demand': 'clarrice_story'}
)
print(f"Computation status: {result['status']}")

const { ethers } = require('ethers');
const crypto = require('crypto');

class PrivacyComputingClient {
  constructor(providerUrl) {
    this.provider = new ethers.providers.JsonRpcProvider(providerUrl);
    this.sessions = new Map();
    this.dataShares = new Map();
    this.results = new Map();
  }

  async createSession(participants, compType, quorum) {
    const sessionId = ethers.utils.keccak256(
      ethers.utils.toUtf8Bytes(JSON.stringify({ participants, compType, timestamp: Date.now() }))
    ).slice(0, 18);

    const session = {
      sessionId,
      participants,
      compType,
      status: 'initialized',
      createdAt: Math.floor(Date.now() / 1000),
      completedAt: 0,
      resultHash: null,
      quorum
    };

    this.sessions.set(sessionId, session);
    this.dataShares.set(sessionId, new Map());
    return session;
  }

  async submitData(sessionId, participant, data) {
    const session = this.sessions.get(sessionId);
    if (!session || session.status !== 'initialized') {
      throw new Error('Session not available');
    }

    const dataStr = JSON.stringify(data);
    const dataHash = crypto.createHash('sha256').update(dataStr).digest('hex');

    const shares = this.dataShares.get(sessionId);
    shares.set(participant, {
      dataHash,
      hasSubmitted: true,
      submittedAt: Math.floor(Date.now() / 1000)
    });

    const submittedCount = Array.from(shares.values()).filter(s => s.hasSubmitted).length;
    if (submittedCount >= session.participants.length) {
      session.status = 'setup';
    }

    return { sessionId, dataHash };
  }

  async executeComputation(sessionId, functionName) {
    const session = this.sessions.get(sessionId);
    if (!session || session.status !== 'setup') {
      throw new Error('Session not ready');
    }

    session.status = 'computing';

    const result = {
      functionName,
      participantCount: session.participants.length,
      computationTime: Math.random() * 2,
      result: `computed_${sessionId.slice(0, 8)}`
    };

    const resultStr = JSON.stringify(result);
    const resultHash = crypto.createHash('sha256').update(resultStr).digest('hex');

    this.results.set(sessionId, {
      result,
      resultHash,
      timestamp: Math.floor(Date.now() / 1000),
      isVerified: false
    });

    session.status = 'completed';
    session.resultHash = resultHash;

    return result;
  }

  async verifyResult(sessionId) {
    const result = this.results.get(sessionId);
    if (!result) return false;

    result.isVerified = true;
    const session = this.sessions.get(sessionId);
    session.status = 'verified';
    return true;
  }

  simulateHannibalGame(clarriceData, hannibalData) {
    const participants = ['clarrice', 'hannibal'];
    // Synchronous simulation
    const sessionId = ethers.utils.keccak256(
      ethers.utils.toUtf8Bytes(JSON.stringify({ participants, timestamp: Date.now() }))
    ).slice(0, 18);

    const session = {
      sessionId,
      participants,
      compType: 'MPC',
      status: 'verified',
      createdAt: Math.floor(Date.now() / 1000),
      completedAt: Math.floor(Date.now() / 1000),
      resultHash: crypto.createHash('sha256').update('result').digest('hex'),
      quorum: 2
    };

    return {
      sessionId,
      clarriceInput: clarriceData,
      hannibalInput: hannibalData,
      computationResult: {
        function: 'find_buffalo_bill',
        match: true,
        confidence: 0.95
      },
      status: 'verified'
    };
  }
}

const client = new PrivacyComputingClient('https://eth-mainnet.g.alchemy.com/v2/YOUR_KEY');
const game = client.simulateHannibalGame(
  { trauma: 'lamb_screaming', fear: 'darkness' },
  { knowledge: 'buffalo_bill_identity', game: 'psychological' }
);
console.log('Game result:', game.computationResult);