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NEURAL NETWORK MODELS FOR DESIGN OF BLOCK CIPHER SYSTEM

NEURAL NETWORK MODELS FOR DESIGN OF BLOCK CIPHER SYSTEM
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摘要 In this paper, a class of block cipher systems having asymptotically perfectsecrecy is constructed by using the neural network models modified from the Hopfieldmodel. In this paper, a class of block cipher systems having asymptotically perfectsecrecy is constructed by using the neural network models modified from the Hopfieldmodel.
出处 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1998年第2期161-167,共7页
关键词 Block CIPHER SYSTEM HOPFIELD neural network ASYMPTOTICALLY PERFECT secrecy. Block cipher system, Hopfield neural network, asymptotically perfect secrecy.
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