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• W2803154550 abstract "Cryptanalysis of modern cryptosystems is viewed as NP-Hard problem. Block ciphers, a modernsymmetric key cipher are characterised with the nonlinearity and low autocorrelation of their structure. Inliterature, various attacks were accomplished based on traditional research algorithms such the brute force, butresults still insufficient especially with wide instances due to resources requirement, which increase with thesize of the problem. Actual research tends toward the use of bio-inspired intelligence algorithms, which areheuristic methods able to handle various combinatorial problems due to their optimisation of search space andfast convergence with reasonable resource consumption. The paper presents a new approach based on geneticalgorithm for cryptanalysis of block ciphers; we focuses especially around the problem formulation, whichseems a critical factor that depends the attack success. The experiments were accomplished on various set ofdata; the obtained results indicate that the proposed methodology seems an efficient tool in handling suchattacks. Moreover, results comparisons of the considered approach with similar heuristics such Particle SwarmOptimisation and Brute Force reports its effectiveness in solving the considered problem." @default.
• W2803154550 created "2018-06-01" @default.
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• W2803154550 date "2018-01-01" @default.
• W2803154550 modified "2023-09-23" @default.
• W2803154550 title "A New Approach of Known Plaintext Attack with Genetic Algorithm" @default.
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