Research Article Open Access

Attack of Against Simplified Data Encryption Standard Cipher System Using Neural Networks

Khaled M. Alallayah1, Waiel F. Abd El-Wahed2, Mohamed Amin1 and Alaa H. Alhamami1
  • 1 ,
  • 2 , Afganistan
Journal of Computer Science
Volume 6 No. 1, 2010, 29-35

DOI: https://doi.org/10.3844/jcssp.2010.29.35

Submitted On: 6 August 2009 Published On: 31 January 2010

How to Cite: Alallayah, K. M., El-Wahed, W. F. A., Amin, M. & Alhamami, A. H. (2010). Attack of Against Simplified Data Encryption Standard Cipher System Using Neural Networks. Journal of Computer Science, 6(1), 29-35. https://doi.org/10.3844/jcssp.2010.29.35

Abstract

Problem statement: The problem in cryptanalysis can be described as an unknown and the neural networks are ideal tools for black-box system identification. In this study, a mathematical black-box model is developed and system identification techniques are combined with adaptive system techniques, to construct the Neuro-Identifier. Approach: The Neuro-Identifier was discussed as a black-box model to attack the target cipher systems. Results: In this study this model is a new addition in cryptography that presented the methods of block (SDES) crypto systems discussed. The constructing of Neuro-Identifier mode achieved two objectives: The first one was to construct emulator of Neuro-model for the target cipher system, while the second was to (cryptanalysis) determine the key from given plaintext-ciphertext pair. Conclusion: Present the idea of the equivalent cipher system, which is identical 100% to the unknown system and that means that an unknown hardware, or software cipher system could be reconstructed without known the internal circuitry or algorithm of it.

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Keywords

  • System identification
  • artificial neural network
  • emulation
  • SDES
  • cryptanalysis
  • cipher system
  • black box and neuro-identifier