QuDAG Crypto

Quantum-resistant cryptographic primitives for the QuDAG protocol.

Features

• ML-KEM-768: NIST-standardized key encapsulation mechanism (FIPS 203)
• ML-DSA (Dilithium): Digital signature algorithm (FIPS 204)
• HQC: Hamming Quasi-Cyclic code-based encryption (128/192/256-bit)
• BLAKE3: Fast cryptographic hash function
• Quantum Fingerprinting: Data fingerprinting using ML-DSA signatures
• Memory Safety: Automatic secret zeroization and constant-time operations

Quick Start

Add to your Cargo.toml:

[dependencies]
qudag-crypto = "0.1"

Examples

ML-KEM Key Encapsulation

use qudag_crypto::ml_kem::MlKem768;

// Generate keypair
let (public_key, secret_key) = MlKem768::keygen()?;

// Encapsulate to get shared secret
let (ciphertext, shared_secret1) = MlKem768::encapsulate(&public_key)?;

// Decapsulate to recover shared secret
let shared_secret2 = MlKem768::decapsulate(&secret_key, &ciphertext)?;

assert_eq!(shared_secret1.as_bytes(), shared_secret2.as_bytes());

ML-DSA Digital Signatures

use qudag_crypto::ml_dsa::{MlDsa, MlDsaKeyPair};

// Generate signing keypair
let keypair = MlDsaKeyPair::generate()?;
let message = b"Hello, quantum-resistant world!";

// Sign message
let signature = keypair.sign(message)?;

// Verify signature
assert!(keypair.public_key().verify(message, &signature)?);

BLAKE3 Hashing

use qudag_crypto::hash::HashFunction;

let data = b"Data to hash";
let hash = HashFunction::hash(data);
println!("Hash: {}", hex::encode(hash.as_bytes()));

Quantum Fingerprinting

use qudag_crypto::fingerprint::Fingerprint;

let data = b"Important data";
let fingerprint = Fingerprint::generate(data)?;

// Verify data integrity
assert!(fingerprint.verify(data)?);

Security Features

• Post-Quantum Security: Resistant to attacks from quantum computers
• Memory Safety: All secret data is automatically zeroized
• Side-Channel Resistance: Constant-time implementations
• NIST Compliance: Implements FIPS 203 and FIPS 204 standards

Supported Algorithms

Performance

QuDAG Crypto is optimized for performance with:

• SIMD acceleration where available
• Efficient memory management
• Minimal allocation overhead
• Hardware feature detection

Documentation

• API Documentation
• QuDAG Project

License

Licensed under either MIT or Apache-2.0 at your option.