Application of multilayer perceptron networks in symmetric block ciphers

In this paper, the applicability of using multilayer perceptron (MLP) networks in symmetric block ciphers is explored. A prototype symmetric block cipher is proposed. It employs an MLP network that decides on the algorithm used for encryption. The MLP network is, in turn, dependent on the secret key. By employing a mutation algorithm comprised 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