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Synchronization of neural networks by mutual learning and its application to cryptography
Zitatschlüssel Klein:2005:SNN
Autor Einat Klein and Rachel Mislovaty and Ido Kanter and Andreas Ruttor and Wolfgang Kinzel
Buchtitel Advances in Neural Information Processing Systems
Seiten 689-696
Jahr 2005
Adresse Cambridge, MA
Jahrgang 17
Herausgeber L. K. Saul and Y. Weiss and L. Bottou
Verlag MIT Press
Zusammenfassung 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.
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