@article {10.3844/jcssp.2010.29.35,
article_type = {journal},
title = {Attack of Against Simplified Data Encryption Standard Cipher System Using Neural Networks},
author = {Alallayah, Khaled M. and El-Wahed, Waiel F. Abd and Amin, Mohamed and Alhamami, Alaa H.},
volume = {6},
number = {1},
year = {2010},
month = {Jan},
pages = {29-35},
doi = {10.3844/jcssp.2010.29.35},
url = {https://thescipub.com/abstract/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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}