Finding the differential characteristics of block ciphers with neural networks
Information Sciences: an International Journal
Finding the differential characteristics of block ciphers with neural networks
Information Sciences: an International Journal
Cryptanalysis of Transposition Cipher Using Simulated Annealing Genetic Algorithm
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Cryptanalysis of four-rounded DES using binary particleswarm optimization
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Cryptanalysis of two-round DES using genetic algorithms
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Cryptanalysis of four-rounded DES using binary artificial immune system
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
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We present a new model for finding a suitable differential characteristics with applying intelligent techniques. We describe the model for Serpent, and find suitable differential characteristics with it through an approach which we call forward-backward technique. Our description may be generalized to find suitable differential characteristics for any block cipher. The model represents the problem of finding the best differential characteristic for a block cipher algorithm as the problem of finding the shortest path in a weighted directed graph. Then, we applied Ant-colony technique for finding the shortest path in the directed graph. In this way, we reached two advantages. Firstly, by applying this method, one can obtain a suitable result without examining the whole search space. Secondly, intelligent techniques such as Ant-colony technique may reduce dependency of cryptanalysis to cryptanalyser.