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A Performance Survey of Meta-Heuristic And Brute-Force Search Algorithms to Cryptanalysis The SDES Encryption Algorithm
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Meysam Moradi *   , Mahdi Abbasi |
| Department Of Computer Engineering, College Of Computer, Hamedan Science And Research Branch, Islamic Azad University, Hamedan, Iran |
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Abstract: (3501 Views) |
For many years, cryptanalysis has been considered as an attractive topic in jeopardizing the security and resistance of an encryption algorithm. The SDES encryption algorithm is a symmetric cryptography algorithm that performs a cryptographic operation using a crypt key. In the world of encryption, there are many search algorithms to cryptanalysis. In these researches, brute force attack algorithm has been used as a complete search algorithm, genetic algorithm as an evolutionary intelligence algorithm, and standard particle swarm as an optimization a swarm intelligence as algorithm. Along with these algorithms, a genetic algorithm has been also introduced by adjusting and designing the parameters and design algorithms has been introduced to discover of crypt key. There are attempts to evaluate the performance of different algorithms for cryptanalysis of the SDES encryption algorithm. |
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| Keywords: Cryptanalysis, Simplified-Data Encryption Standard(S-DES), Brute-Force Attack Search Algorithm, Standard Particle Swarm Optimization Algorithm, Genetic Algorithm, Encryption Key |
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Full-Text [PDF 2808 kb]
(562 Downloads)
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Type of Study: Research Article |
Subject:
Special
Received: 2018/02/6 | Accepted: 2019/07/10 | Published: 2019/08/3
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