Earticle

초록

영어

A genetic algorithm (GA) is a search algorithm for solving optimization problems due to it is robustness; it offers benefits over optimization techniques in searching n-dimensional surface. In today's information age, information transfer has increased exponentially. Hence, security, confidentiality and authentication have become important factors in multimedia communications. Encryption is an effective technique that is preserving the confidentiality of data in Internet applications. Cryptanalysis is a technique of encoding and decoding ciphertext in such way it cannot be interpreted by anyone expects sender and receiver. In this paper, GA with an improved crossover operator was used for the cryptanalysis of Simplified data encryption standard problem (S-DES). Results have shown that GA performance is better than brute force search technique in breaking S-DES key.

목차

Abstract
 1. Introduction
 2. Related Works
 3. S-DES
  3.1. S-DES Key Generation
  3.2. Initial and Final Permutation
  3.3. The Function 𝒇𝒌
  3.4. The Switch Function
 4. Genetic Algorithm (GA)
 5. Cost fitness
 6. Results and Experimental Setup
 7. Conclusion
 References

키워드

저자

• Farah Al Adwan [ Department of Computer Science, University of Jordan ]
• Mohammad Al Shraideh [ Department of Computer Science, University of Jordan ]
• Mohammed Rasol” Saleem Al Saidat [ Jordan Telecom Group (Orange) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605