Cryptanalysis and improvement on a parallel keyed hash function based on chaotic neural network
Cryptanalysis and improvement on a parallel keyed hash function based on chaotic neural network
复制标题
基于混沌神经网络的并行密钥哈希函数的密码分析与改进
DOI：
10.1007/s11235-011-9457-9
复制
发表时间：
2013-02-01
影响因子：
2.5
通讯作者：
Alghathbar, Khaled
中科院分区：
文献类型：
--
作者：
Wang, Xiaomin;Guo, Wei;Alghathbar, Khaled
本文详细分析了一种混沌并行密钥哈希函数的安全性，指出它容易受到两种伪造攻击和弱密钥攻击（导致MAC冲突）。为了弥补这些安全缺陷，进一步提出了改进方案，并讨论了其安全性和性能。理论分析表明，改进方案比原方案安全性更高。同时，它还能保持原方案的并行性等性能优势。
This paper analyzes the security of a chaotic parallel keyed hash function in detail, and points out that it is susceptible to two kinds of forgery attacks and weak key attack (which results in MAC collision). To remedy such security flaws, an improved scheme is further proposed, and its security and performance are also discussed. The theoretical analysis shows that the improved scheme is more secure than the original one. In the meanwhile, it can also keep the parallel merit and other performance advantages of the original scheme.