Enas H. Salih; Mohamad AB. Saleh; Mohammed Gheni Alwan
Abstract
Neural network has been emerged the cryptography field as efficient tool for both cryptanalysis and cryptography due to its amazing ability to explore solution space for a given problem. ...
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Neural network has been emerged the cryptography field as efficient tool for both cryptanalysis and cryptography due to its amazing ability to explore solution space for a given problem. One of the latest observations for the behavior of neural networks is its ability to synchronize itself to other neural network based on mutual learning rules; this phenomenon has been under the focus of specialist in cryptographic field due to its significant usage as highly secure key exchange algorithm. This paper is presenting new approach to drive the synchronization based on semi-chaotic mutual learning, where the output of each neural network will be extracted through non-linear mapping to memory filled with balanced number of 1's and 0's as this paper will demonstrate.
