Abstract
Cryptanalysis with Computational Intelligence has gained much interest in recent years. This paper presents an approach for breaking the key used in Simplified-Data Encryption Standard (S-DES) using Genetic algorithm (GA), Particle Swarm Optimization (PSO) and a novel approach called Genetic Swarm Optimization (GSO) obtained by combining the effectiveness of GA and PSO. Ciphertext-only attack is embraced here and an optimum key is produced based on Letter Frequency analysis as Cost function. The key is optimized using the capabilities of Computational Intelligence and the experimental results indicate GSO is an effective tool which runs through less time to break the key used in S-DES and reduces the search space nearly by a factor of 6.
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