期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：4
页码：379-381
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In this paper for the first time Particle Swarm Optimization is applied in the field of cryptanalysis of DES based on their ability to selectively explore the solution space of a given problem. PSO is a robust stochastic optimization technique based on the movement and intelligence of swarms. PSO applies the concept of social interaction to problem solving. It was developed in 1995 by James Kennedy (social-psychologist) and Russell Eberhart (electrical engineer). It uses a number of agents (particles) that constitute a swarm moving around in the search space looking for the best solution. Each particle is treated as a point in an N-dimensional space which adjusts its "flying" according to its own flying experience as well as the flying experience of other particles. It applies the concept of social interaction to problem solving. A complete problem formulation is explained. Conclusion and References are given as appropriate.
关键词：Cipher Text; Data Encryption Standard ; Cryptanalysis; Particle Swarm Optimization; Plain Text
