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采用OHNN和M-LFSR的字序列密码加密方案
引用本文:蔺小梅,李国刚,张泽普.采用OHNN和M-LFSR的字序列密码加密方案[J].华侨大学学报(自然科学版),2014,0(5):519-522.
作者姓名:蔺小梅  李国刚  张泽普
作者单位:华侨大学 信息科学与工程学院, 福建 厦门 361021
摘    要:结合反馈型离散Hopfield神经网络(HNN)和改进型的线性反馈移位寄存器(M-LFSR)的优点,提出基于OHNN和M-LFSR的字序列密码.该方案利用离散Hopfield神经网络的混沌吸引子对改进型线性反馈移位寄存器的非线性选择输出,实现加密.安全性分析与仿真验证表明:该算法构造的伪随机序列具有良好的随机性、复杂度等特点,满足密码学的要求.

关 键 词:序列密码  线性反馈移位寄存器  离散型Hopfield神经网络  混沌吸引子

An Word Oriented Encryption Scheme Based on OHNN and M-LFSR
LIN Xiao mei,LI Guo gang,ZHANG Ze pu.An Word Oriented Encryption Scheme Based on OHNN and M-LFSR[J].Journal of Huaqiao University(Natural Science),2014,0(5):519-522.
Authors:LIN Xiao mei  LI Guo gang  ZHANG Ze pu
Institution:College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
Abstract:A new encryption technique in word-oriented stream cipher has been proposed. It consists modified linear feedback shift register simu-lated(M-LFSR), and a feedback discrete-time Hopfield neural networks(HNN). Nonlinearity of the M-LFSR has been chosen by the chaotic attractors of discrete-time HNN as the output to achieve encryption. Safety analysis and simulation have shown that the pseudo-random sequence constructed by the proposed algorithm has been characterized by good randomness and complexity, which meets the requirements of cryptography.
Keywords:stream cipher  linear feedback shift register simulated  Hopfield neural networks  chaotic attractors
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