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Breaking of Simplified Data Encryption Standard using Genetic Algorithm

§ FET RBS COLLEGE ,AGRA

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Breaking of Simplified Data Encryption Standard using Genetic Algorithm

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Abstract

Cryptanalysis of ciphertext by using evolutionary algorithm has gained so much interest in recent years. In this paper we have used a Genetic algorithm with improved crossover operator (Ring Crossover) for cryptanalysis of S-DES. There so many attacks in cryptography. The cipher text attack only is considered here and several keys are generated in the different run of the genetic algorithm on the basis of their cost function value which depends upon frequency of the letters. The results on the S-DES indicate that, this is a promising method and can be adopted to handle other complex block ciphers like DES, AES.

References

20 Cites in Article
  1. 1. Poonam Garg (2006). Genetic algorithm Attack on Simplified Data Encryption Standard Algorithm. International journal Research in Computing Science
  2. 2. N Nalini,G. Raghavendra Rao (2006). Cryptanalysis of Simplified Data Encryption Standard via Optimization Heuristics. 2005 3rd International Conference on Intelligent Sensing and Information Processing, 6, 74-79.
  3. 3. R Spillman (1993). Cryptanalysis of Knapsack Ciphers Using Genetic Algorithms. Cryptologia, XVII(4), 367-377.
  4. 4. R Spillman,M Janssen,B Nelson,Kepner (1993). Use of A Genetic Algorithm in the Cryptanalysis of simple substitution Ciphers. Cryptologia, XVII(1), 187-201.
  5. 5. Clark,Dawson Ed (1998). Optimisation Heuristics for the Automated Cryptanalysis of Classical Ciphers. Journal of Combinatorial Mathematics and Combinatorial Computing, 28, 63-86.
  6. 6. M Matsui (1994). Linear cryptanalysis method for DES cipher. Lect. Notes Comput. Sci, 765, 386-397.
  7. 7. William Stallings (2003). Cryptography and Network Security. Network and Application Security, 31-46.
  8. 8. M Vimalathithan,Valarmathi (2009). Cryptanalysis of ADFGX using Genetic Algorithm. International Journal of Computing, Communication and Instrumentation Engineering, 3(1), 76-79.
  9. 9. Edward Schaefer (1996). A SIMPLIFIED DATA ENCRYPTION STANDARD ALGORITHM. Cryptologia, 20(1), 77-84.
  10. 10. Yılmaz Kaya,Murat Uyar,Ramazan Tekdn A Novel Crossover Operator for Genetic Algorithms: Ring Crossover. A Novel Crossover Operator for Genetic Algorithms: Ring Crossover
  11. 11. L Davis (1991). Handbook of Genetic Algorithm. Handbook of Genetic Algorithm
  12. 12. David Goldberg,John Holland (1988). Genetic Algorithms and Machine Learning. Machine Learning, 3(2-3), 95-99.
  13. 13. M Addison -Wesley (1989). Unknown Title.
  14. 14. A,Michalewiez,N Attia (1994). Evolutionary optimization of constrained problems. InProc.3rd annu. Conf. on Evolutionary Programming, 98-108.
  15. 15. Z Michalewicz (1996). Genetic algorithms+ Data structures = Evolution programs 3rd ed. Genetic algorithms+ Data structures = Evolution programs 3rd ed
  16. 16. Neal Koblitz (1994). Cryptography. Graduate Texts in Mathematics, 54-82.
  17. 17. J Alfred,Menezes,Alfred Menezes (1997). Handbook of Applied Cryptography. Handbook of Applied Cryptography
  18. 18. R Toemeh,S Arumugam (null). Electronics and Electrical Engineering. Electronics and Electrical Engineering
  19. 19. Deb Kalyanmoy (2001). Multi-objective Optimization using Evolutionary Algorithms. Multi-objective Optimization using Evolutionary Algorithms
  20. 20. C Wu,N Rul'kov (1993). Studying chaos via 1-D maps-a tutorial. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 40(10), 707-721.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Lavkush Sharma, ram gopal sharma. 1970. "Breaking of Simplified Data Encryption Standard using Genetic Algorithm". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 5).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST Classification E.3
Version of record
v1.2

Issue date
March 7, 2012

Language
English
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Breaking of Simplified Data Encryption Standard using Genetic Algorithm

Dr. Sharma
Dr. Sharma FET RBS COLLEGE ,AGRA
ram sharma
ram sharma <p>FET RBS COLLEGE ,AGRA</p>