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- W2144683792 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 ident ification techniques are combined with adaptive system techniques, to construct the Neuro%Identifier. The Neuro%Identifier is d iscussed 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%mod el for the target cipher system, while the second is to (cryptanalysis) determine the key from given plaintext%ciphertext p" @default.
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- W2144683792 date "2010-01-01" @default.
- W2144683792 modified "2023-09-23" @default.
- W2144683792 title "Attack and construction of simulator for some cipher systems using neuro-Identifier." @default.
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