The pure python implement of the slh-dsa algorithm.
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Updated
Feb 26, 2026 - Python
Cryptographic algorithms secure against potential future quantum computers.
The pure python implement of the slh-dsa algorithm.
CLI tool for signing/verifying Git commits with CRYSTALS-Dilithium.
Efficient Algorithm Level Error Detection for Number-Theoretic Transform
This repository contains the code and materials for my research project focused on Post-Quantum Cryptography (PQC) for Quantum Key Distribution (QKD).
The goal of post-quantum cryptography (also called quantum-resistant cryptography) is to develop cryptographic systems that are secure against both quantum and
This repo contains algorithms for Post Quantum Cryptography. MLKEM, MLDSA
A complete WebAuthn test platform with classic and Post-Quantum Cryptography (PQC) algorithms integrated with liboqs. Built with Python, FIDO2, and Docker, deployed with Google Cloud and Render. Built on python-fido2-PQC.
Automated test suite to evaluate server-side implementations of Certificate Management Protocol (CMP); with support for post-quantum hybrid X.509 certificates
This project demonstrates how to securely encrypt packets of messages using AES-256 encryption. Keys are securely exchanged using Kyber, a post-quantum cryptographic algorithm, and authenticated using Dilithium ensuring protection against both classical and quantum attacks.
Cryptography as a service. Post-quantum ready (ML-KEM, ML-DSA), FIPS 140-2/3 compliant, context-driven encryption with zero-config SDKs. "Life is hard but cryptography doesn't have to be."
Automates the secure migration of SSH keys and configurations to post-quantum cryptography (PQC) for both servers and clients.
A toy implementation of ML-KEM, aka Kyber, based on the current FIPS 203 draft
A Python library for device fingerprinting and hardware-based identification. Cross-platform security solution for fraud prevention, device authentication, and enterprise applications.
Web application demonstrating PQC using the CRYSTALS-Kyber512 KEM combined with AES-GCM for hybrid encryption.
For Python testing NTRU / NTT Multiplication in Academia Sinica IIS.
AI-powered healthcare prediction system using ClinicalBERT and EfficientNet, secured with Ethereum blockchain, post-quantum cryptography, hashing encryption, and MongoDB storage.