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Public channel cryptography by synchronization of neural networks and chaotic maps
Rachel Mislovaty1, Einat Klein, Ido Kanter
1Department of Physics, Bar Ilan University, Ramat-Gan 52900, Israel.
Abstract:
Two different kinds of synchronization have been applied to cryptography: synchronization of chaotic maps by one common external signal and synchronization of neural networks by mutual learning. By combining these two mechanisms, where the external signal to the chaotic maps is synchronized by the nets, we construct a hybrid network which allows a secure generation of secret encryption keys over a public channel. The security with respect to attacks, recently proposed by Shamir et al., is increased by chaotic synchronization.
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