Hanzo Post-Quantum Cryptography (PQC)

Production-ready implementation of NIST Post-Quantum Cryptography standards for the Hanzo Node ecosystem, providing quantum-resistant security for key establishment and digital signatures.

Features

• 🔐 FIPS 203 ML-KEM: Quantum-safe key encapsulation (Kyber)
• ✍️ FIPS 204 ML-DSA: Quantum-safe digital signatures (Dilithium)
• 🔄 Hybrid Mode: Combines PQC with classical cryptography for defense-in-depth
• 🛡️ Privacy Tiers: Automatic security level selection based on deployment environment
• ⚡ High Performance: Optimized for both security and speed
• 🏭 Production Ready: Comprehensive testing, benchmarks, and documentation

Quick Start

Add to your Cargo.toml:

[dependencies]
hanzo_pqc = { version = "1.1", features = ["ml-kem", "ml-dsa", "hybrid"] }

Basic usage:

use hanzo_pqc::{
    kem::{Kem, KemAlgorithm, MlKem},
    signature::{Signature, SignatureAlgorithm, MlDsa},
};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Key Encapsulation
    let kem = MlKem::new();
    let keypair = kem.generate_keypair(KemAlgorithm::MlKem768).await?;
    let output = kem.encapsulate(&keypair.encap_key).await?;
    let shared_secret = kem.decapsulate(&keypair.decap_key, &output.ciphertext).await?;
    
    // Digital Signatures
    let dsa = MlDsa::new();
    let (verifying_key, signing_key) = dsa.generate_keypair(SignatureAlgorithm::MlDsa65).await?;
    let message = b"Quantum-safe message";
    let signature = dsa.sign(&signing_key, message).await?;
    let valid = dsa.verify(&verifying_key, message, &signature).await?;
    
    Ok(())
}

Algorithm Support

ML-KEM (FIPS 203)

ML-DSA (FIPS 204)

Privacy Tiers

Automatic algorithm selection based on deployment environment:

use hanzo_pqc::{privacy_tiers::PrivacyTier, config::PqcConfig};

// Automatically selects appropriate algorithms
let config = PqcConfig::for_privacy_tier(PrivacyTier::AccessCpuTee);

Hybrid Mode

Combines ML-KEM with X25519 for defense against both classical and quantum attacks:

use hanzo_pqc::hybrid::{HybridMode, HybridKem};

let hybrid = HybridKem::new(HybridMode::MlKem768X25519);
let (encap_key, decap_key) = hybrid.generate_keypair(HybridMode::MlKem768X25519).await?;

Examples

See the examples/ directory for complete examples:

• basic_usage.rs - Getting started with PQC
• Run with: cargo run --example basic_usage --features "ml-kem ml-dsa hybrid"

Benchmarks

Run performance benchmarks:

cargo bench --package hanzo_pqc

Typical performance on modern hardware:

Testing

# Run all tests
cargo test --package hanzo_pqc --all-features

# Run with specific features
cargo test --package hanzo_pqc --features "ml-kem ml-dsa"

# Run integration tests
cargo test --package hanzo_pqc --test integration_tests

Features

• ml-kem - ML-KEM key encapsulation (default)
• ml-dsa - ML-DSA digital signatures (default)
• slh-dsa - SLH-DSA hash-based signatures (optional)
• hybrid - Hybrid PQC+Classical mode (default)
• fips-mode - FIPS 140-3 compliance mode
• gpu-cc - GPU Confidential Computing support
• tee-io - GPU TEE-I/O (Blackwell) support

Security Considerations

1. Quantum Resistance: All algorithms are designed to resist attacks from both classical and quantum computers
2. Side-Channel Protection: Implementation uses constant-time operations where possible
3. Key Zeroization: Sensitive key material is automatically zeroed on drop
4. Hybrid Mode: Provides defense-in-depth by combining PQC with classical crypto
5. Algorithm Agility: Easy to upgrade to stronger parameters as needed

FIPS Compliance

This implementation adheres to:

• FIPS 203 (ML-KEM)
• FIPS 204 (ML-DSA)
• SP 800-56C Rev. 2 (KDF)
• SP 800-90A Rev. 1 (RNG)

See FIPS_COMPLIANCE.md for detailed compliance information.

Dependencies

• oqs v0.11 - NIST reference implementations
• x25519-dalek - Classical ECDH for hybrid mode
• hkdf - SP 800-56C compliant KDF
• chacha20poly1305 - AEAD for key wrapping

License

Apache 2.0 / MIT dual license

Contributing

Contributions welcome! Please ensure:

1. All tests pass
2. Code follows Rust conventions
3. Security considerations are documented
4. Benchmarks show no performance regression

Support

For issues and questions:

• GitHub Issues: hanzo-node/issues
• Documentation: docs.hanzo.ai

Built with 🔒 by Hanzo AI for quantum-safe future