Applying neural networks for simplified data encryption standard (SDES)‎ cipher system cryptanalysis

Abstract EN

The problem in cryptanalysis can be described as an unknown and the neural networks are ideal tools for black-box system identification.

In this paper, a mathematical black-box model is developed and system identification techniques are combined with adaptive system techniques, to construct the Neuro-Identifier.

The Neuro-Identifier is discussed as a black-box model to attack the target cipher systems.

In this paper, a new addition in cryptography has been presented and the methods of block Simplified DES (SDES) crypto systems are discussed.

The constructing of Neuro-Identifier mode is to achieve two objectives: The first is to emulator construction Neuro-model for the target cipher system, while the second is to (cryptanalysis) determine the key from given plaintext-ciphertext pair.