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Title |
Genetic Algorithm for DES Cryptanalysis |
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Author |
Tarek Tadros, Abd El Fatah Hegazy, Amr Badr |
| Citation |
Vol. 10 No. 5 pp. 5-11 |
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Abstract |
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. |
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Keywords |
DES, Differential Cryptanalysis, Linear Cryptanalysis, Genetic Algorithm, Evolutionary Cryptanalysis |
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