Abstract
This paper presents a new approach integrated evolutionary optimization into cryptanalysis techniques. The idea that relies on key likelihood estimation and linearity approximation is used to design the fitness function model. The experimental results indicate that the above techniques are effective to attack the 49 bits key and the 42 bits key for DES cipher reduced to six rounds or less. Furthermore, preliminary analyses indicate that the designing of fitness function and the capability of resisting linear approximation are the key factors affecting evolutionary cryptanalysis.
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Yang, F., Song, J., Zhang, H. (2008). Quantitative Cryptanalysis of Six-Round DES Using Evolutionary Algorithms. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_15
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DOI: https://doi.org/10.1007/978-3-540-92137-0_15
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