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Neural cryptography with queries
Zitatschlüssel Ruttor:2005:NCQ
Autor Andreas Ruttor and Wolfgang Kinzel and Ido Kanter
Seiten P01009
Jahr 2005
DOI 10.1088/1742-5468/2005/01/P01009
Journal J. Stat. Mech.
Jahrgang 2005
Nummer 01
Zusammenfassung 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.
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