A novel Hash algorithm construction based on chaotic neural network

被引：106

作者：

Li, Yantao ^{[1
]}

Deng, Shaojiang ^{[1
]}

Xiao, Di ^{[1
]}

机构：

[1] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2011年 / 20卷 / 01期

关键词：

Cryptography; Chaotic neural network; Hash function; Chaotic map; MAP;

D O I：

10.1007/s00521-010-0432-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An algorithm for constructing a one-way novel Hash function based on two-layer chaotic neural network structure is proposed. The piecewise linear chaotic map (PWLCM) is utilized as transfer function, and the 4-dimensional and one-way coupled map lattices (4D OWCML) is employed as key generator of the chaotic neural network. Theoretical analysis and computer simulation indicate that the proposed algorithm presents several interesting features, such as high message and key sensitivity, good statistical properties, collision resistance and secure against meet-in-the-middle attacks, which can satisfy the performance requirements of Hash function.

引用

页码：133 / 141

页数：9

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