Implementation of Cryptanalytic Programs for ASCON and SLIM Using ChatGPT

Abstract

Large language models (LLMs) have demonstrated exceptional capabilities in generating text, images, and program code, driven by extensive training on large-scale datasets. Among LLMs, ChatGPT has emerged as a prominent example, with over one hundred million users worldwide. Previous studies have highlighted its ability to generate program source code for symmetric-key ciphers such as AES, CHAM, and ASCON. This study investigates the implementation of cryptanalytic program source code for lightweight authenticated encryption scheme ASCON and lightweight block cipher SLIM using ChatGPT, aiming to evaluate its potential and limitations in the field of cryptography.