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Cryptography using chaotic discrete-time Hopfield neural networks with delays
by
Mirela Darau
West University of Timisoara, Romania
Coauthors: Eva Kaslik, Stefan Balint (West University of Timisoara, Romania)
We propose a cryptosystem based on a class of chaotic discrete-time delayed Hopfield neural networks of two non-identical neurons with no self-connections. The security of this cryptosystem is discussed and some simulations are presented which illustrate its efficiency.
Date received: March 11, 2008
Copyright © 2008 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caub-97.