CipherSniffer: Classifying Cipher Types
Computation and Language
2023-06-16 v1 Cryptography and Security
Machine Learning
Abstract
Ciphers are a powerful tool for encrypting communication. There are many different cipher types, which makes it computationally expensive to solve a cipher using brute force. In this paper, we frame the decryption task as a classification problem. We first create a dataset of transpositions, substitutions, text reversals, word reversals, sentence shifts, and unencrypted text. Then, we evaluate the performance of various tokenizer-model combinations on this task.
Cite
@article{arxiv.2306.08116,
title = {CipherSniffer: Classifying Cipher Types},
author = {Brendan Artley and Greg Mehdiyev},
journal= {arXiv preprint arXiv:2306.08116},
year = {2023}
}