Neural cryptography with feedback

dc.creatorRuttor, Andreas
dc.creatorKinzel, Wolfgang
dc.creatorShacham, Lanir
dc.creatorKanter, Ido
dc.date2003-11-26
dc.date2004-07-15
dc.date.accessioned2026-07-07T02:54:58Z
dc.date.available2026-07-07T02:54:58Z
dc.descriptionNeural cryptography is based on a competition between attractive and repulsive stochastic forces. A feedback mechanism is added to neural cryptography which increases the repulsive forces. Using numerical simulations and an analytic approach, the probability of a successful attack is calculated for different model parameters. Scaling laws are derived which show that feedback improves the security of the system. In addition, a network with feedback generates a pseudorandom bit sequence which can be used to encrypt and decrypt a secret message.
dc.description8 pages, 10 figures; abstract changed, references updated
dc.identifierhttps://arxiv.org/abs/cond-mat/0311607
dc.identifierhttp://arxiv.org/abs/cond-mat/0311607
dc.identifierPhys. Rev. E 69, 046110 (2004)
dc.identifierdoi:10.1103/PhysRevE.69.046110
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/22781
dc.subjectDisordered Systems and Neural Networks
dc.titleNeural cryptography with feedback
dc.typetext

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