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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