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Neural cryptography with queries
Citation key Ruttor:2005:NCQ
Author Andreas Ruttor and Wolfgang Kinzel and Ido Kanter
Pages P01009
Year 2005
DOI 10.1088/1742-5468/2005/01/P01009
Journal J. Stat. Mech.
Volume 2005
Number 01
Abstract 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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