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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Application of the Tabu Search Algorithm to Cryptography

Author 1: Zakaria KADDOURI
Author 2: Fouzia OMARY

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080712

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

  • Abstract and Keywords
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Abstract: Tabu search is a powerful algorithm that has been applied with great success to many difficult combinatorial problems. In this paper, we have designed and implemented a symmetrical encryption algorithm whose internal structure is mainly based on Tabu search algorithm. This heuristic performs multiple searches among different solutions and stores the best solutions in an adaptive memory. First of all, we coded the encryption problem by simulating a scheduling problem. Next, we have used an appropriate coding for our problem. Then we used the suitable evaluation function. Through the symmetric key generated by our algorithm, we have illustrated the principle of encryption and decryption. The experimentations of our approach are given at the end of this paper, from which we examined our new system strengths and the elements that could be improved.

Keywords: Symmetric encryption; heuristic; Tabu search; algorithm; scheduling problem; combinatorial problems

Zakaria KADDOURI and Fouzia OMARY, “Application of the Tabu Search Algorithm to Cryptography” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080712

@article{KADDOURI2017,
title = {Application of the Tabu Search Algorithm to Cryptography},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080712},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080712},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Zakaria KADDOURI and Fouzia OMARY}
}


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