Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69432
Title: Application of multilayer perceptron networks in symmetric block ciphers
Authors: Yee, L.P.
De Silva, L.C. 
Keywords: Cryptography
Key-dependent algorithm
Neural network
Issue Date: 2002
Citation: Yee, L.P.,De Silva, L.C. (2002). Application of multilayer perceptron networks in symmetric block ciphers. Proceedings of the International Joint Conference on Neural Networks 2 : 1455-1458. ScholarBank@NUS Repository.
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.
Source Title: Proceedings of the International Joint Conference on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/69432
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