Cryptanalysis on a parallel keyed hash function based on chaotic neural network

被引：24

作者：

Wang, Xing-yuan ^{[1
]}

Zhao, Jian-feng ^{[1
]}

机构：

[1] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Liaoning, Peoples R China

来源：

NEUROCOMPUTING | 2010年 / 73卷 / 16-18期

基金：

中国国家自然科学基金;

关键词：

Cryptanalysis; Chaotic neural network; Weak key; Forgery attack; Security; MAPS;

D O I：

10.1016/j.neucom.2010.05.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we analyze the security of a parallel keyed hash function based on chaotic neural network proposed by Xiao et al. recently. Weak keys and forgery attacks against Xiao et al.'s scheme are demonstrated. Both theoretical analysis and experimental results show that the parallel keyed hash function is not security. Besides, some improvement measures are presented to enhance the security of the parallel keyed hash function. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：3224 / 3228

页数：5

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