A Study on Guessing plaintexts by Neural Network against Data Encryption Standard (DES)
Maki Kawano, Shihcheng Peng, Shunsuke Araki, Ken’ichi Kakizaki · 2023
One of our research purpose is to evaluate a symmetric key encryption scheme by using a machine learning. As the first step, this paper shows results of a known plaintext attack by using the neural network against Data Encryption Standard (DES) as the symmetric key encryption scheme. A plaintext guessing attack from ciphertexts against 16-round DES did not yield good results. On the other hand, we report interesting results in their attacks against 1- and 2-round DES.