Neural cryptography with queries

dc.creatorRuttor, Andreas
dc.creatorKinzel, Wolfgang
dc.creatorKanter, Ido
dc.date2004-11-15
dc.date2005-03-01
dc.date.accessioned2026-07-07T03:02:08Z
dc.date.available2026-07-07T03:02:08Z
dc.descriptionNeural cryptography is based on synchronization of tree parity machines by mutual learning. We extend previous key-exchange protocols by replacing random inputs with queries depending on the current state of the neural networks. The probability of a successful attack is calculated for different model parameters using numerical simulations. The results show that queries restore the security against cooperating attackers. The success probability can be reduced without increasing the average synchronization time.
dc.description12 pages, 8 figures; typos corrected
dc.identifierhttps://arxiv.org/abs/cond-mat/0411374
dc.identifierhttp://arxiv.org/abs/cond-mat/0411374
dc.identifierJ. Stat. Mech. (2005) P01009
dc.identifierdoi:10.1088/1742-5468/2005/01/P01009
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/25287
dc.subjectDisordered Systems and Neural Networks
dc.titleNeural cryptography with queries
dc.typetext

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