Abstract
In this paper, we present a new approach for the cryptanalysis of four-rounded Data Encryption Standard (DES) based on Artificial Immune System (AIS). The proposed algorithm is a combination of exploitation and exploration of fitness landscape where it performs local as well as global search. The algorithm has the property of automatically determining the population size and maintaining the local solutions in generations to generate results close to the global results. It is actually a known plaintext attack that aims at deducing optimum keys depending upon their fitness values. The set of deduced or optimum keys is scanned to extract the valuable bits out by counting all bits from the deduced key set. These valuable extracted bits produce a major divergence from other observed bits. This results in a 56-bit key deduction without probing the whole search space. To the best of our knowledge, the proposed algorithm is the first attempt to perform cryptanalysis of four-rounded DES using Artificial Immune System.
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Ali Abbas Hamdani, S., Shafiq, S., Khan, F.A. (2010). Cryptanalysis of Four-Rounded DES Using Binary Artificial Immune System. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_42
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DOI: https://doi.org/10.1007/978-3-642-13495-1_42
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