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

Scan your infrastructure for quantum-vulnerable cryptography. Get a migration roadmap. NIST FIPS 203/204 compliant.

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

Process Quality Control for CMS outer tracker

A comprehensive WebAuthn test platform with Post-Quantum Cryptography (PQC) algorithms integrated with liboqs. Built with Python, FIDO2, and Docker, deployed with Google Cloud. Built on the library python-fido2.

Automated test suite to evaluate server-side implementations of Certificate Management Protocol (CMP); with support for post-quantum hybrid X.509 certificates

Off The Record v4 with NIST Level 5 post-quantum crypto ML-KEM-1024 brace rotation, ML-DSA-87 hybrid auth, Rust double ratchet. Runs on Termux over I2P. One Python file + C extensions.

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.

Analysis for PQC measurements

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."

A toy implementation of ML-KEM, aka Kyber, based on the current FIPS 203 draft

Automates the secure migration of SSH keys and configurations to post-quantum cryptography (PQC) for both servers and clients.

A security-hardened, agent-native CLI for verifiable AI autonomy, featuring PQC-backed zero-trust orchestration and real-time reasoning surveillance.

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.