期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2010
卷号：10
期号：5
页码：5-11
出版社：International Journal of Computer Science and Network Security
摘要：This paper discusses the use of Genetic Algorithm (G.A.) for DES cryptanalysis for the most two famous attacks Differential Attack & Linear Attack in order to enhance the attack overall performance. This paper presents a new proposed fitness function for G.A. Linear Attack & an enhanced technique for G.A. Differential Attack in order to enhance performance of previous G.A. Differential Attacks [1][8].G.A. Linear Attack was implemented on DES-4 Rounds while G.A. Differential Attack was implemented on DES 6-rounds. Both attacks were capable to break DES and extract key bits in less than one second. Experimental results show that G.A. enhanced the overall performance & memory consumption. Therefore G.A. can be used to enhance Differential Attack & Linear Attack for various DES-like cryptosystems.
关键词：DES; Differential Cryptanalysis; Linear Cryptanalysis; Genetic Algorithm; Evolutionary Cryptanalysis
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