UPDF AI

CipherSniffer: Classifying Cipher Types

Brendan Artley,G. Mehdiyev

2023 · DOI: 10.48550/arXiv.2306.08116
arXiv.org · 1 Citations

TLDR

This paper frames the decryption task as a classification problem, and evaluates the performance of various tokenizer-model combinations on this task.

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.