[1]李国刚,钟超林,蔺小梅.OHNN新的分组Hash算法[J].华侨大学学报(自然科学版),2015,36(4):393-398.[doi:10.11830/ISSN.1000-5013.2015.04.0393]
 LI Guo-gang,ZHONG Chao-lin,LIN Xiao-mei.New Gouping Hash Agorithm Based on OHNN[J].Journal of Huaqiao University(Natural Science),2015,36(4):393-398.[doi:10.11830/ISSN.1000-5013.2015.04.0393]
点击复制

OHNN新的分组Hash算法()
分享到:

《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第36卷
期数:
2015年第4期
页码:
393-398
栏目:
出版日期:
2015-07-15

文章信息/Info

Title:
New Gouping Hash Agorithm Based on OHNN
文章编号:
1000-5013(2015)04-0393-06
作者:
李国刚 钟超林 蔺小梅
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
LI Guo-gang ZHONG Chao-lin LIN Xiao-mei
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
Hopfield神经网络 混沌吸引子 分段线性映射 Hash算法
Keywords:
hopfield neural the chaotic attractor piecewise linear mapping Hash algorithm
分类号:
TN918.4
DOI:
10.11830/ISSN.1000-5013.2015.04.0393
文献标志码:
A
摘要:
在Hash函数算法的研究设计过程中,引入混沌系统理论,探索研究基于混沌动力学的Hash函数算法.将分段线性混沌映射和过饱和的Hopfield神经网络(OHNN)进行结合,提出一种基于混沌动力理论的单向Hash函数构造方法.对算法进行仿真和测试,从不同方面分析验证所提新的算法满足Hash算法的性能指标.安全性分析表明:该算法能抵抗多种碰撞和统计分析的攻击,具有很好的安全性能.
Abstract:
In the design process of the Hash function algorithm study, the chaotic systems theory, is introduced to investigate the Hash Function Algorithm Based on Chaos Dynamics. Combining the piecewise linear chaotic map and oversaturated Hopfield neural network(OHNN). An unidirectional Hash function construction method based on chaotic dynamical theory is proposed. The new algorithm is verified to meet the performance index of Hash algorithm from different aspects by simulation and testing. Security analysis shows that the proposed algorithm can resist many kinds of attacks, and has good security performance.

参考文献/References:

[1] WANG Xiao-yun,YAO Fang.Cryptanalysis of SHA-l hash function[C]//Proceedings of Crypto 2005.Berlin:Springer-Verlag,2005:19-35.
[2] XIAO Di,LIAO Xiao-feng,WANG Yong.Improving the security of a parallel keyed hash function based on chaotic maps[J].Phys Lett A,2009,373(47):4346-4353.
[3] YANG Gang,YI Jun-yan.Dynamic characteristic of a multiple chaotic neural network and its application[J].Soft Computing,2013,17(5):783-792.
[4] LI Guo-gang,GUO Dong-hui.One-way property proof in public key cryptography based on OHNN[J].Procedia Engineering,2011,15(1/2):1812-1816.
[5] LASOTA A,MACKEY M C.Probabilistic properties of deterministic systems[M].Cambridge:Cambridge University Press,1985:1.
[6] XIAO Di,LIAO Xiao-feng.One-way Hash function construction based on the chaotic maps with changeable-parameter[J].Chaos Solitons and Fractais,2005,24(1):65-71.
[7] WONG K W.A combined chaotic cryptographic and hashing scheme[J].Physics Letters A,2003,307(5/6):292-298.
[8] 李永华.混沌加密算法与Hash函数构造研究[D].大连:大连大学,2012:45.
[9] WANG Yong,LIAO Xiao-feng,XIAO Di,et al.One-way hash function construction based on 2D coupled map lattices[J].Information Sciences,2008,178(5):1391-1406.
[10] XIAO Di,LIAO Xiao-feng,DENG Shao-jiang.Parallel keyed hash function construction based on chaotic maps[J].Phys Lett A,2008,372(26):4682-4688.

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(4):0.
[2]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.[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(4):519.[doi:10.11830/ISSN.1000-5013.2014.05.0519]

备注/Memo

备注/Memo:
收稿日期: 2014-12-29
通信作者: 李国刚(1973-),男,教授,博士,主要从事集成电路设计与信息安全的研究.E-mail:lgg@hqu.edu.cn.
基金项目: 国家自然科学基金资助项目(61370007); 华侨大学科研基金资助项目(14BS115)
更新日期/Last Update: 2015-07-20