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In this paper we analyze the cryptanalysis of the simplified data encryptionstandard algorithm using meta-heuristics and in particular genetic algorithms.The classic fitness function when using such an algorithm is to compare n-gramstatistics of a the decrypted message with those of the target message. We showthat using such a function is irrelevant in case of Genetic Algorithm, simplybecause there is no correlation between the distance to the real key (theoptimum) and the value of the fitness, in other words, there is no hiddengradient. In order to emphasize this assumption we experimentally show that agenetic algorithm perform worse than a random search on the cryptanalysis ofthe simplified data encryption standard algorithm.

A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm