CIRCL: Cloudflare Interoperable Reusable Cryptographic Library
Auditable & minimal JS implementation of public-key post-quantum cryptography
A pure python implementation of ML-DSA (FIPS 204) and CRYSTALS-Dilithium
Python implementations of FIPS 203,204,205 (+ python wrappers for NIST's ACVP-Server crypto code)
NIST FIPS 204 (ML-DSA) standard compliant, C++20, fully `constexpr`, header-only library
A cheat sheet for the new post quantum cryptography algorithms
META LAYER: Hybrid Post Quantum Nexus -> Web, Cryptocurrency, Domains, & Governance § Sub Layer 0 Ecosystem & Solutions
CryptGuard is a comprehensive cryptographic library, offering robust encryption and decryption capabilities. It integrates traditional cryptography with post-quantum algorithms, ensuring resilience against quantum computing threats.
Encryption and signing for a post quantum world
Post-Quantum Cryptography for Julia
CLI tool for signing/verifying Git commits with CRYSTALS-Dilithium.
A minimal Proof-of-Work blockchain with Dilithium PQC (post-quantum cryptography) and public UTXO ledger - 50+ year quantum resistance
Post-quantum command-line encryption tool with recipient anonymity and zero-seek streaming.
Coldwire - the ultra‑paranoid post‑quantum messenger
Hybrid quantum-classical encryption system using BB84 protocol, AES-256, HMAC, and optional post-quantum signatures. Includes full GUI and scientific metrics logging.
Implementation of Generic Anonymous AKE
Inheritable is a Web3 Will solution for secure, decentralized inheritance on Base. It adds claims to a Merkle Tree whose root is Anchored to Base with a Quantum-Resistant signature, and establishes a Decentralized Oracle of Death to unlock claims. | Built for EthDenver #BUIDLthon 2023 by Omar ElNaggar, Paul Loh, Intel Chen, and Zile Cao
Crystals is a post-quantum verification protocol for Solana leveraging the power of Dilithium 2 & 3 -- achieving more than 128 bits of security against all known classical and quantum attacks.
A pure-rust no-std reasonably-constant-time stack-efficient implementation of ML-DSA-87
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