sharpetronics/liboqs
1
0
Fork 0
mirror of https://github.com/open-quantum-safe/liboqs.git synced 2025-10-04 00:02:01 -04:00
Code Issues Projects Releases Wiki Activity
liboqs/docs/algorithms/kem/ml_kem.md
Basil Hess 60adf53107
Add ML-DSA-ipd and ML-KEM-ipd & NIST supplied test vectors (#1626) 
Pulls ML-DSA-ipd and ML-KEM-ipd
Adds test cases with NIST supplied test vectors for ML-DSA/ML-KEM
Adds aliases (ML-<name> are aliases of ML-<name>-ipd)
[trigger downstream]
2024-02-19 10:28:28 +01:00

5.5 KiB
Raw Blame History

ML-KEM

  • Algorithm type: Key encapsulation mechanism.
  • Main cryptographic assumption: Module LWE+R with base ring Z[x]/(3329, x^256+1).
  • Principal submitters: Peter Schwabe.
  • Auxiliary submitters: Roberto Avanzi, Joppe Bos, Léo Ducas, Eike Kiltz, Tancrède Lepoint, Vadim Lyubashevsky, John M. Schanck, Gregor Seiler, Damien Stehlé.
  • Authors' website: https://pq-crystals.org/kyber/ and https://csrc.nist.gov/pubs/fips/203/ipd
  • Specification version: ML-KEM-ipd.
  • Primary Source:
    • Source: 11d00ff1f2 with copy_from_upstream patches
    • Implementation license (SPDX-Identifier): CC0-1.0 or Apache-2.0

Parameter set summary

Parameter set Parameter set alias Security model Claimed NIST Level Public key size (bytes) Secret key size (bytes) Ciphertext size (bytes) Shared secret size (bytes)
ML-KEM-512-ipd ML-KEM-512 IND-CCA2 1 800 1632 768 32
ML-KEM-768-ipd ML-KEM-768 IND-CCA2 3 1184 2400 1088 32
ML-KEM-1024-ipd ML-KEM-1024 IND-CCA2 5 1568 3168 1568 32

ML-KEM-512-ipd implementation characteristics

Implementation source Identifier in upstream Supported architecture(s) Supported operating system(s) CPU extension(s) used No branching-on-secrets claimed? No branching-on-secrets checked by valgrind? Large stack usage?‡
Primary Source ref All All None True True False
Primary Source avx2 x86_64 Linux,Darwin AVX2,BMI2,POPCNT True True False

Are implementations chosen based on runtime CPU feature detection? Yes.

‡For an explanation of what this denotes, consult the Explanation of Terms section at the end of this file.

ML-KEM-768-ipd implementation characteristics

Implementation source Identifier in upstream Supported architecture(s) Supported operating system(s) CPU extension(s) used No branching-on-secrets claimed? No branching-on-secrets checked by valgrind? Large stack usage?
Primary Source ref All All None True True False
Primary Source avx2 x86_64 Linux,Darwin AVX2,BMI2,POPCNT True True False

Are implementations chosen based on runtime CPU feature detection? Yes.

ML-KEM-1024-ipd implementation characteristics

Implementation source Identifier in upstream Supported architecture(s) Supported operating system(s) CPU extension(s) used No branching-on-secrets claimed? No branching-on-secrets checked by valgrind? Large stack usage?
Primary Source ref All All None True True False
Primary Source avx2 x86_64 Linux,Darwin AVX2,BMI2,POPCNT True True False

Are implementations chosen based on runtime CPU feature detection? Yes.

Explanation of Terms

  • Large Stack Usage: Implementations identified as having such may cause failures when running in threads or in constrained environments.