Public channel cryptography by synchronization of neural networks and chaotic maps
Statistical Mechanics
2009-11-10 v1
Abstract
Two different kinds of synchronization have been applied to cryptography: Synchronization of chaotic maps by one common external signal and synchronization of neural networks by mutual learning. By combining these two mechanisms, where the external signal to the chaotic maps is synchronized by the nets, we construct a hybrid network which allows a secure generation of secret encryption keys over a public channel. The security with respect to attacks, recently proposed by Shamir et al, is increased by chaotic synchronization.
Keywords
Cite
@article{arxiv.cond-mat/0302097,
title = {Public channel cryptography by synchronization of neural networks and chaotic maps},
author = {Rachel Mislovaty and Einat Klein and Ido Kanter and Wolfgang Kinzel},
journal= {arXiv preprint arXiv:cond-mat/0302097},
year = {2009}
}
Comments
4 pages