Bayesian Decoder for Substitution Ciphers using MCMC

This project implements a Bayesian cryptanalysis framework for decoding monoalphabetic substitution ciphers using Markov Chain Monte Carlo (MCMC) methods.

Tech Stack

• Python
• NumPy
• Bayesian Inference
• Metropolis-Hastings
• Markov Models

Structure

• src/ : Core implementation
• data/ : Text corpora
• notebooks/ : Experiments
• report/ : Documentation