PMID: 15244697Jul 13, 2004Paper

Cooperating attackers in neural cryptography

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Lanir ShachamWolfgang Kinzel

Abstract

A successful attack strategy in neural cryptography is presented. The neural cryptosystem, based on synchronization of neural networks by mutual learning, has been recently shown to be secure under different attack strategies. The success of the advanced attacker presented here, called the "majority-flipping attacker," does not decay with the parameters of the model. This attacker's outstanding success is due to its using a group of attackers which cooperate throughout the synchronization process, unlike any other attack strategy known. An analytical description of this attack is also presented, and fits the results of simulations.

References

Nov 23, 2000·Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics·R MetzlerI Kanter
Jan 7, 2003·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·R MislovatyW Kinzel
Jan 7, 2003·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Michal Rosen-ZviWolfgang Kinzel
Oct 4, 2003·Physical Review Letters·Rachel MislovatyWolfgang Kinzel

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Citations

Apr 3, 2012·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Luís F Seoane, Andreas Ruttor
Jul 16, 2013·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Nankun MuTingwen Huang
Apr 12, 2006·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Andreas RuttorIdo Kanter
Aug 11, 2005·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Einat KleinWolfgang Kinzel
Sep 28, 2010·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Oscar Mauricio Reyes, Karl-Heinz Zimmermann
Aug 7, 2007·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Andreas RuttorIdo Kanter

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