Neural cryptography with queries

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Neural 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.
12 pages, 8 figures; typos corrected

Keywords

Disordered Systems and Neural Networks

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/25287

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0411374
 http://arxiv.org/abs/cond-mat/0411374
 J. Stat. Mech. (2005) P01009
 doi:10.1088/1742-5468/2005/01/P01009

Collections

arXiv