Neural cryptography with queries
无序系统与神经网络
2007-05-23 v2
摘要
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.
引用
@article{arxiv.cond-mat/0411374,
title = {Neural cryptography with queries},
author = {Andreas Ruttor and Wolfgang Kinzel and Ido Kanter},
journal= {arXiv preprint arXiv:cond-mat/0411374},
year = {2007}
}
备注
12 pages, 8 figures; typos corrected