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Research Article Open Access

Cryptanalysis using Artificial Bee Colony Algorithm Guided by Frequency based Fitness Value

1Erciyes University
✉ Corresponding author: Arkan Kh Shakr Sabonchi · arkankhaleel@gmail.com
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Abstract

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study to cryptanalyse the substitution cipher that is the fundamental structure of the modern cryptology methods. Artificial Bee Colony algorithm searches for the key used for encryption phase and it is aimed to obtain the decrypted text by the key discovered. Various number of texts and population sizes are examined to obtain the original key by using the character frequency analysis. Consequently, from the results, the Artificial Bee Colony Algorithm displays good performance for cryptanalysis application in substitution cipher.  

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Cite this article

Sabonchi, A. K. S., & Akay, B. (2017). Cryptanalysis using Artificial Bee Colony Algorithm Guided by Frequency based Fitness Value. In International Symposium on Multidisciplinary Studies and Innovative Technologies (pp. 330–334). SET Technology.

Article History

Published
8 Dec 2017

License

© 2017 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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