1. Attack of against simplified data encryption standard cipher system using neural networks
- Author
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Alallayah, Khaled M., Wahed, Waiel F. Abd El-, Amin, Mohamed, and Alhamami, Alaa H.
- Subjects
Algorithms -- Analysis ,Neural networks -- Standards ,Neural networks -- Usage ,Neural network ,Algorithm ,Computers - 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. Key words: System identification, artificial neural network, emulation, SDES, cryptanalysis, cipher system, black box and neuro-identifier, INTRODUCTION Block cipher systems belong to symmetric cryptographic systems, where the same key is used for encryption and decryption process. The major difference between block ciphers and other symmetric cryptographic [...]
- Published
- 2010