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Encryption in AIDDDMAP

Overview

AIDDDMAP provides a comprehensive encryption system that supports multiple encryption modes and seamlessly integrates with agents, devices, and the UADM (Universal Agent Deployment Module). The system is designed to be flexible, secure, and performant while maintaining data privacy and integrity.

Encryption Modes

FHE (Fully Homomorphic Encryption)

  • Primary encryption mode for sensitive data
  • Allows computations on encrypted data
  • Ideal for AI operations that need to maintain data privacy
  • Uses Microsoft SEAL for implementation
  • Supports both BFV and CKKS schemes
  • Configurable parameters for performance optimization
  • Features:
  • Matrix operations support
  • Noise budget monitoring
  • Context validation
  • Parameter optimization
  • Batch processing
  • Performance optimization for large datasets
  • Hardware acceleration support
  • GPU-based constraint processing
  • Memory usage optimization
  • Advanced key rotation

ZK (Zero-Knowledge Proofs)

  • Enables verification without revealing data
  • Perfect for validation and authentication
  • Supports multiple proof types:
  • Range proofs
  • Equality proofs
  • Membership proofs
  • Merkle proofs
  • Polynomial evaluation proofs
  • Uses libsnark with WebAssembly integration
  • Configurable for different security levels and proof systems
  • Features:
  • R1CS (Rank-1 Constraint System) support
  • Circuit optimization with GPU acceleration
  • Parallel constraint processing
  • Memory-optimized proof generation
  • Post-quantum secure schemes (Kyber, Dilithium, SPHINCS+)
  • Zero-knowledge virtual machine support
  • Advanced circuit optimization

Basic Encryption

  • Fallback mode using AES-256-GCM encryption
  • Suitable for less sensitive data
  • Provides good performance for simple use cases
  • Default mode when others aren't specified
  • Features:
  • Password-based key derivation (PBKDF2)
  • Secure salt generation
  • IV handling
  • Status feedback
  • Batch processing capabilities

Post-Quantum Security

Supported Schemes

  1. Kyber
  2. Key encapsulation mechanism
  3. Configurable security levels (1, 3, 5)
  4. Lattice-based parameters (n, q, k)

  5. Hardware-optimized implementation

  6. Dilithium

  7. Digital signature scheme
  8. Post-quantum secure signatures
  9. Configurable parameters

  10. Efficient verification

  11. SPHINCS+

  12. Hash-based signature scheme
  13. Stateless signatures
  14. Multi-layer tree structure
  15. Long-term security

Zero-Knowledge Virtual Machine

  • Stack-based architecture for ZK proof execution
  • Features:
  • Instruction set (LOAD, MUL, EQ)
  • Memory management
  • Program counter tracking
  • Circuit to instruction conversion
  • Constraint verification
  • Performance optimization

Circuit Optimization

GPU Acceleration

  • WebGL-based constraint processing
  • Features:
  • Shader-based computation
  • Batch processing
  • Memory optimization
  • Parallel execution
  • Performance monitoring

Optimization Levels

  1. Basic
  2. Common term merging

  3. Redundant constraint elimination

  4. Aggressive

  5. Parallel constraint processing
  6. Memory usage optimization
  7. GPU acceleration
  8. Advanced circuit optimization

UADM Integration

Agent Encryption Handler

The AgentEncryptionHandler manages encryption for individual agents:

interface AgentEncryptionConfig {
  mode: EncryptionMode;
  agentId: string;
  requiresPartialDecrypt?: boolean;
  performanceMetrics?: boolean;
}

Features:

  • Mode-specific encryption handling
  • Performance monitoring
  • Partial decryption support
  • Error handling and recovery
  • Integration with agent lifecycle

Performance Considerations

FHE Operations

  • GPU acceleration for constraint processing
  • Memory optimization for large datasets
  • Batch processing capabilities
  • Parallel execution support

ZK Proofs

  • Circuit optimization
  • GPU-accelerated proof generation
  • Memory-efficient witness computation
  • Parallel constraint verification

Future Enhancements

Planned Features

  1. FHE Improvements
  2. Enhanced GPU acceleration
  3. Advanced circuit optimization
  4. Improved batch processing

  5. Extended homomorphic operations

  6. ZK Enhancements

  7. Additional proof systems
  8. Advanced circuit optimization
  9. Extended ZKVM capabilities

  10. Improved post-quantum schemes

  11. Performance Optimization

  12. Enhanced GPU utilization
  13. Advanced memory management
  14. Improved parallel processing
  15. Hardware acceleration

Security Roadmap

  1. Complete post-quantum integration
  2. Enhance GPU acceleration
  3. Optimize memory usage
  4. Extend ZKVM capabilities
  5. Improve circuit optimization
  6. Add advanced monitoring tools

Best Practices

  1. Key Management
  2. Regular key rotation
  3. Secure key storage
  4. Proper backup procedures

  5. Access control implementation

  6. Performance Optimization

  7. Use appropriate batch sizes
  8. Enable GPU acceleration when available
  9. Monitor memory usage

  10. Implement proper error handling

  11. Security Considerations

  12. Choose appropriate security levels
  13. Implement proper access controls
  14. Monitor system performance
  15. Regular security audits