An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Cryptography and Network Security: Principles and Practice
Cryptography and Network Security: Principles and Practice
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Practical Genetic Algorithms with CD-ROM
Practical Genetic Algorithms with CD-ROM
Swarm Intelligent Systems (Studies in Computational Intelligence)
Swarm Intelligent Systems (Studies in Computational Intelligence)
Attacks of simple block ciphers via efficient heuristics
Information Sciences: an International Journal
Computational Intelligence in Information Assurance and Security
Computational Intelligence in Information Assurance and Security
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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.