Secure hash function based on neural network

Shiguo Lian

doi:10.1016/j.neucom.2006.04.003

2006-10-01

PRE

Shiguo Lian *

Jinsheng Sun

DOI：10.1016/j.neucom.2006.04.003

原文链接

原文求助

摘要

En 中文

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.

Keyword:

neural networks

chaotic neural networks

hash function

digital signature