Secure hash function based on neural network

被引：38

作者：

Lian, Shiguo ^{[1
]}

Sun, Jinsheng ^{[1
]}

Wang, Zhiquan ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Automat, Nanjing 210094, Peoples R China

来源：

NEUROCOMPUTING | 2006年 / 69卷 / 16-18期

关键词：

neural networks; chaotic neural networks; hash function; digital signature;

D O I：

10.1016/j.neucom.2006.04.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A hash function is constructed based on a three-layer neural network. The three neuron-layers are used to realize data confusion, diffusion and compression, respectively, and the multi-block hash mode is presented to support the plaintext with variable length. Theoretical analysis and experimental results show that this hash function is one-way, with high key sensitivity and plaintext sensitivity, and secure against birthday attacks or meet-in-the-middle attacks. Additionally, the neural network's property makes it practical to realize in a parallel way. These properties make it a suitable choice for data signature or authentication. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：2346 / 2350

页数：5

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