A method for designing Hash function based on chaotic neural network

DOI

10.2991/ccis-13.2013.53How to use a DOI?

Keywords

Hash function; chaotic neural network; Cryptography; Information Security

Abstract

The neural network model has complex nonlinear behavior, which is very useful to design encryption algorithm and Hash function. In this paper, an algorithm for constructing one-way hash function based on chaotic neural network is proposed. The neural network model is initialized by two chaotic maps. Then, the message are divided into blocks with fixed length and inputted to neural network one by one. The final Hash value is extracted from status value of output layer cells. Theoretical analysis and computer simulation indicate that our algorithm has good statistical properties, strong collision resistance and high flexibility. It is practical and reliable, with high potential to provide data integrity.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - He Bo
AU  - Lei Peng
AU  - Pu Qin
AU  - Liu Zhaolong
PY  - 2013/11
DA  - 2013/11
TI  - A method for designing Hash function based on chaotic neural network
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 229
EP  - 233
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.53
DO  - 10.2991/ccis-13.2013.53
ID  - Bo2013/11
ER  -