@inproceedings{c27e868604ea495aa16de8a25b35d6cc,
title = "Synchronization of neural networks by mutual learning and its application to cryptography",
abstract = "Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cryptographic secret-key using a public channel. Several models for this cryptographic system have been suggested, and have been tested for their security under different sophisticated attack strategies. The most promising models are networks that involve chaos synchronization. The synchronization process of mutual learning is described analytically using statistical physics methods.",
author = "Einat Klein and Rachel Mislovaty and Ido Kanter and Andreas Ruttor and Wolfgang Kinzel",
year = "2005",
language = "אנגלית",
isbn = "0262195348",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
booktitle = "Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004",
note = "18th Annual Conference on Neural Information Processing Systems, NIPS 2004 ; Conference date: 13-12-2004 Through 16-12-2004",
}