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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Developing a Block-Cipher-Key Generator Using Philosophy of Data Fusion Technique

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Author Soukaena H. Hashem, Mohammad A. AL-Hamami, Alaa H. AL-Hamami
ISSN 2079-8407
On Pages 222-227
Volume No. 2
Issue No. 5
Issue Date May 01, 2011
Publishing Date May 01, 2011
Keywords Data Fusion, Block Cipher, key generator, Data Encryption Standard, Artificial Neural Network, and Genetic Algorithm


Abstract

Good cryptographic systems should always be designed so that they are as difficult to break as possible. This research will concentrate on increasing the complexity of block cipher encryption. This complexity could be done by building a dynamic pool that consists of thousands of fused random bits; these bits come from previously used key and many other resources. Two fusion methods are proposed to generate the block cipher keys. The first method is by using Artificial Neural Network (ANN) and the second one by using genetic Algorithm (GA). For these two methods we introduce an example for Data Encryption Standard (DES) algorithm. Hamming distance function is used as threshold for testing the reliability of the keys in the proposed methods. This research also proposed a method for generating the sub-keys for the Blowfish algorithm.  

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