Neural Cryptanalysis of Block Cipher

In this paper Neural Network is applied in the field of cryptanalysis of Block cipher based on their ability to selectively explore the solution space of a given problem. New algorithm is proposed that offers a new approach to attack ciphering algorithms based on the principle that any function could be reproduced by a neural network. Neural Network and Feistel block cipher is explained. A complete problem formulation is explained. Conclusion and References are given as appropriate.

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