Research on Plaintext Restoration of AES Based on Neural Network

Abstract

Known plaintext attack is a common attack method in cryptographic attack. For ciphertext, only known part of the plaintext but unknown key, how to restore the rest of the plaintext is an important part of the known plaintext attack. This paper uses backpropagation neural networks to perform cryptanalysis on AES in an attempt to restore plaintext. The results show that the neural network can restore the entire byte with a probability of more than 40%, restoring more than half of the plaintext bytes with a probability of more than 63% and restoring more than half of the bytes above 89%.