Application of multilayer perceptron networks in symmetric block ciphers

Abstract

In this paper, the applicability of using MultiLayer Perceptron Networks in symmetric block ciphers is explored. A prototype symmetric block cipher is proposed. It employs a Multilayer-Perceptron (MLP) Network that decides on the algorithm used for encryption. The MLP Network is in turn dependent on the secret key. By employing a mutating algorithm comprising of cryptographically proven modular arithmetic and feistel networks, it is hoped that such a symmetric block cipher will be resistant to modern cryptanalytic attacks such as differential and linear attacks.