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kyber_rust_ferris

enc_rust

Crates.io Version codecov License: GPL v3 dependency status

About

A pure rust implementation of the Module-Lattice-based standards ML-KEM and (soon) ML-DSA, also known as the PQC scheme Crystals Kyber and Dilithium.

This package consists of a library (enc_rust), and (soon :TM:) a binary wrapper. The library currently contains implementations for ML-KEM (Kyber), and will in the future also support ML-DSA (Dilithium).


Why enc_rust?

enc_rust aims to provide a secure, efficient, and ergonomic solution to any problem that requires quantum secure cryptography.

  • No unsafe code
  • no_std compatible
  • ergonomic

enc_rust currently supports ML-KEM as a sole mechanism, but will provide:

  • ML-KEM in hybrid with x25519
  • ML-DSA
  • ML-DSA in hybrid with Ed25519

How to use

Install

cargo add enc_rust

or

cargo add --git https://github.com/supinie/enc_rust.

Example

use enc_rust::kem::*;

fn alice(pk: PublicKey) -> (Ciphertext, [u8; 32]) {
    let (ciphertext, shared_secret) = pk.encapsulate(None, None).unwrap();

    (ciphertext, shared_secret)
}

fn bob(sk: PrivateKey, ciphertext: &[u8]) -> [u8; 32] {
    let shared_secret = sk.decapsulate(ciphertext).unwrap();

    shared_secret
}


fn main() {
    let (pk, sk) = generate_keypair_768(None).unwrap();

    let (ciphertext, alice_secret) = alice(pk);

    let bob_secret = bob(sk, ciphertext.as_bytes());

    assert_eq!(alice_secret, bob_secret);
}

Disclaimer

This library and binary wrapper is offered as-is, and without a guarantee. Please exercise caution when using this library in a production application, and we accept no liability for any security issues related to the use of this code.


Kyber Algorithm Authors:

  • Roberto Avanzi, ARM Limited (DE)
  • Joppe Bos, NXP Semiconductors (BE)
  • Léo Ducas, CWI Amsterdam (NL)
  • Eike Kiltz, Ruhr University Bochum (DE)
  • Tancrède Lepoint, SRI International (US)
  • Vadim Lyubashevsky, IBM Research Zurich (CH)
  • John M. Schanck, University of Waterloo (CA)
  • Peter Schwabe, MPI-SP (DE) & Radboud University (NL)
  • Gregor Seiler, IBM Research Zurich (CH)
  • Damien Stehle, ENS Lyon (FR)