2003/02/05 by Rachel Mislovaty, Einat Klein, Ido Kanter +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Chaos control and synchronization #Fractal and DNA sequence analysis #Neural Networks and Applications #cond-mat.stat-mech
paper · pdf · doi:10.1103/physrevlett.91.118701
4 pages
arxiv created 2003/02/05 · openalex publication_date 2003/09/12 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.