Application of Binary Particle Swarm Optimization in Cryptanalysis of DES

Feistel cipher based cryptographic algorithms like DES are very hard for the cryptanalysts as their internal structures are based on high nonlinearity and low autocorrelation. It has been shown that the traditional and brute-force type attacks are insignificant for the cryptanalysis of this type of algorithms. Swarm intelligence is an exciting new research field and shown their effectiveness, robustness to solve a wide variety of complex problems. Therefore, in this paper, Binary Particle Swarm Optimization (BPSO) strategy is used for cryptanalysis of DES symmetric key cryptographic algorithm. The reported results show that it is very promising to solve block cipher based cryptographic optimization problem through meta heuristic techniques.