Public Channel Cryptography by Synchronization of Neural Networks and Chaotic Maps

Rachel Mislovaty, Einat Klein, Ido Kanter, and Wolfgang Kinzel
Phys. Rev. Lett. 91, 118701 – Published 12 September 2003

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.

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  • Received 4 February 2003

DOI:https://doi.org/10.1103/PhysRevLett.91.118701

©2003 American Physical Society

Authors & Affiliations

Rachel Mislovaty1, Einat Klein1, Ido Kanter1, and Wolfgang Kinzel2

  • 1Department of Physics, Bar Ilan University, Ramat-Gan 52900, Israel
  • 2Institute of Theoretical Physics, University of Würzburg, D-97074 Würzburg, Germany

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Issue

Vol. 91, Iss. 11 — 12 September 2003

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