Genetic algorithms and tabu search: hybrids for optimization
Computers and Operations Research - Special issue on genetic algorithms
An Experimental Evaluation of a Scatter Search for the Linear Ordering Problem
Journal of Global Optimization
Using ants to attack a classical cipher
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Security in outsourcing of association rule mining
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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
Steganography by using attributes of magic number 9
Proceedings of the 2011 International Conference on Communication, Computing & Security
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This paper presents an approach for the automated cryptanalysis of substitution ciphers based on a recent evolutionary metaheuristic called Scatter Search. It is a population-based metaheuristic founded on a formulation proposed two decades ago by Fred Glover. It uses linear combinations on a population subsets to create new solutions while other evolutionary approaches like genetic algorithms resort to randomization. First, we implement the procedures of the scatter search for the cryptanalysis of substitution ciphers. This implementation can be used as a framework for solving permutation problems with scatter search. Then, we test the algorithm and show the importance of the improvement method and the contribution of subset types. Finally, we compare its performances with those of a genetic algorithm.