Attack and construction of simulator for some of cipher systems using neuro-identifier

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 classical and stream cryptosystems are discussed.

The constructing of Neuro-Identifier mode is to achieve two objectives : the first one 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.