Attack and Construction of Simulator for Some of Cipher Systems Using Neuro-Identifier

The problem in cryptanalysis can be described as an unknown and the neural networks are ideal tools for blackboxsystem identification. In this paper, a mathematical black-box model is developed and system identification techniques arecombined with adaptive system techniques, to construct the Neuro-Identifier. The Neuro-Identifier is discussed as a black-boxmodel to attack the target cipher systems. In this paper a new addition in cryptography. Has been presented, and the methodsof 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