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

Khaled Alallayah1, Mohamed Amin1, Waiel Abd El-Wahed2, and Alaa Alhamami3‎
‎1Department of Mathematical & Computer Science, Al Menoufia University, Egypt
‎2Department of Computer Science, Al Menoufia University, Egypt
‎3Faculty of Computing Studies, Amman Arab University for Graduate Studies, Jordan ‎

Abstract: 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.‎