BAT algorithm for Cryptanalysis of Feistel cryptosystems

Cilt: 3 Sayı: 2 1 Nisan 2015
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BAT algorithm for Cryptanalysis of Feistel cryptosystems

Abstract

Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks; available results, emerged many years ago remain insufficient when handling large instances due to resources requirement which increase with the amount of processed data.  On another side, optimization techniques inspired by swarm intelligence represents a set of approaches used to solve complex problems. This is mainly due to their fast convergence with a consumption of reduced resources. The purpose of this paper is to provide, and for a first time, a more detailed study about the performance of BAT algorithm in cryptanalysis of some variant of Data encryption standard algorithms. Experiments were performed to study the effectiveness of the used algorithm in solving the considered problem and underline the difficulties encountered.

Keywords

Kaynakça

  1. S. Rao & al. (2009). Cryptanalysis of a Feistal Type Block Cipher by Feed Forward Neural Network Using Right Sigmoidal Signals. International Journal of Software Computing, Vol.4(3).
  2. S.Ali K, Al-Omari Putra Sumari. (2010). Spiking Neurons with ASNN BASED-Methods for the Neural Block Cipher. International journal of computer science & information Technology. Vol.2(4).
  3. R. Singh, D. B. Ojha. (2010). An Ordeal Random Data Encryption Scheme (ORDES). International Journal of Engineering Pages.6349- 6360. Technology. Vol. 2(11).
  4. C. Blum, X. Li, (2007). Swarm intelligence in optimization’, natural Computing Series, Springer.
  5. T.S.C. Felix, M.K. Tiwari. (2007). Swarm Intelligence, Focus on Ant Particle Swarm Optimization. Int. Tech Education and Publishing..978-902613-09-7.Austria.
  6. A. Gherboudj, S. Chikhi. (2011). A modified HPSO Algorithms for Knapsack Problem. CCIS. Springer.
  7. G.S. Sharvani, N.K. Cauvery, T.M. Rangaswamy. (2009). Different Types of Swarm Intelligence Algorithm for Routing. International Conference on Advances in Recent Technologies in Communication and Computing.
  8. Beni, G., Wang, J. (1989). Swarm Intelligence in Cellular Robotic Systems, Proceed. NATO Advanced Workshop on Robots and Biological Systems, Tuscany, Italy.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yayımlanma Tarihi

1 Nisan 2015

Gönderilme Tarihi

30 Ekim 2014

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2015 Cilt: 3 Sayı: 2

Kaynak Göster

APA
Tahar, M. (2015). BAT algorithm for Cryptanalysis of Feistel cryptosystems. International Journal of Intelligent Systems and Applications in Engineering, 3(2), 82-85. https://doi.org/10.18201/ijisae.82426
AMA
1.Tahar M. BAT algorithm for Cryptanalysis of Feistel cryptosystems. International Journal of Intelligent Systems and Applications in Engineering. 2015;3(2):82-85. doi:10.18201/ijisae.82426
Chicago
Tahar, Mekhaznia. 2015. “BAT algorithm for Cryptanalysis of Feistel cryptosystems”. International Journal of Intelligent Systems and Applications in Engineering 3 (2): 82-85. https://doi.org/10.18201/ijisae.82426.
EndNote
Tahar M (01 Nisan 2015) BAT algorithm for Cryptanalysis of Feistel cryptosystems. International Journal of Intelligent Systems and Applications in Engineering 3 2 82–85.
IEEE
[1]M. Tahar, “BAT algorithm for Cryptanalysis of Feistel cryptosystems”, International Journal of Intelligent Systems and Applications in Engineering, c. 3, sy 2, ss. 82–85, Nis. 2015, doi: 10.18201/ijisae.82426.
ISNAD
Tahar, Mekhaznia. “BAT algorithm for Cryptanalysis of Feistel cryptosystems”. International Journal of Intelligent Systems and Applications in Engineering 3/2 (01 Nisan 2015): 82-85. https://doi.org/10.18201/ijisae.82426.
JAMA
1.Tahar M. BAT algorithm for Cryptanalysis of Feistel cryptosystems. International Journal of Intelligent Systems and Applications in Engineering. 2015;3:82–85.
MLA
Tahar, Mekhaznia. “BAT algorithm for Cryptanalysis of Feistel cryptosystems”. International Journal of Intelligent Systems and Applications in Engineering, c. 3, sy 2, Nisan 2015, ss. 82-85, doi:10.18201/ijisae.82426.
Vancouver
1.Mekhaznia Tahar. BAT algorithm for Cryptanalysis of Feistel cryptosystems. International Journal of Intelligent Systems and Applications in Engineering. 01 Nisan 2015;3(2):82-5. doi:10.18201/ijisae.82426

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