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DY: Dynamik und Statistische Physik

DY 42: Synchronisation I

DY 42.3: Vortrag

Donnerstag, 27. März 2003, 11:30–11:45, G\"OR/226

Synchronization of Random Walks and Chaotic Maps: Application to Public Channel Cryptography — •Wolfgang Kinzel¹, Ido Kanter², Rachel Mislovaty², and Andreas Ruttor¹ — ¹Theoretical Physics, Am Hubland, 97074 Wurzburg — ²Theoretical Physics, Bar Ilan University, Israel

Two artificial neural networks (parity machines or random walks) can be synchronized by mutual learning. After synchronization, their common synaptic weights can be used as a secret key generated via a public channel. Recently, Shamir et al suggested several attacks on neural cryptography. We show that the probability of a successful attack can be made exponentially small with the number of bits per weight. The security of neural cryptography can be increased by two methods: First, by combining neural networks with chaotic maps which are synchronized by the networks, and second, by using a feedback input.

References and preprints can be found in
http://theorie.physik.uni-wuerzburg.de/TP3/publi.html