[1]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),2014,35(5):519-522.[doi:10.11830/ISSN.1000-5013.2014.05.0519]
 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),2014,35(5):519-522.[doi:10.11830/ISSN.1000-5013.2014.05.0519]
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采用OHNN和M-LFSR的字序列密码加密方案()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第5期
页码:
519-522
栏目:
出版日期:
2014-09-20

文章信息/Info

Title:
An Word Oriented Encryption Scheme Based on OHNN and M-LFSR
文章编号:
1000-5013(2014)05-0519-04
作者:
蔺小梅 李国刚 张泽普
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
LIN Xiao-mei LI Guo-gang ZHANG Ze-pu
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
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
Keywords:
stream cipher linear feedback shift register simu-lated Hopfield neural networks chaotic attractors
分类号:
TN918.4
DOI:
10.11830/ISSN.1000-5013.2014.05.0519
文献标志码:
A
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.
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.

参考文献/References:

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相似文献/References:

[1]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),2015,36(预先出版):0.
 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),2015,36(5):0.

备注/Memo

备注/Memo:
收稿日期: 2013-07-18
通信作者: 李国刚(1973-),男,副教授,主要从事集成电路设计与信息安全的研究.E-mail:lgg@hqu.edu.cn.
更新日期/Last Update: 2014-09-20