This paper shows how evolutionary algorithms (EAs) can be used to speed up the process of cryptanalysis. The purpose of this study is to demonstrate that evolutionary algorithms can effectively be used for cryptanalysis attacks in order to obtain major speed and memory optimization. A classical transposition cipher was applied in all of the research tests in order to prove this hypothesis. All ciphertexts will be subject to cryptanalysis attacks extended by EAs. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Boryczka, U., & Dworak, K. (2014). Genetic transformation techniques in cryptanalysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8398 LNAI, pp. 147–156). Springer Verlag. https://doi.org/10.1007/978-3-319-05458-2_16
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