Cellular neural networks in secure transmission applications

Abstract

The work deals with a state controlled cellular neural network-based circuit for secure transmission applications. Basic principles of synchronisation between two (or more) chaotic systems are reported concerning the inverse system technique. Fundamentals of this kind of transmission are briefly introduced together with some experimental results. Finally, programmability of CNN circuits is exploited in order to increase the transmission security allowing the possibility to set-up several encryption/decryption key codes.