Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Cryptography: Theory and Practice
Cryptography: Theory and Practice
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Handbook of Applied Cryptography
Handbook of Applied Cryptography
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In this article, we present a new cryptographic system which is a combination of our ciphering evolutionary algorithm and a new ciphering method called “fusion”. This latter allows the alteration of the appearance frequencies of characters from a given text, and can be used as a preparatory stage for our evolutionary algorithm. So, it constitutes the first part of the system cryptographic. Our system has at its disposed two keys, the first one is generated during “fusion” part and the second one is generated by the evolutionary algorithm. Both of them are symmetric, session keys and strengthening the security of our system. To underline this system, we performed applications on different texts and through a good debate, we illustrate its quality in comparison with others.