Title :
Cellular neural networks in secure transmission applications
Author :
Caponetto, R. ; Lavorgna, M. ; Occhipinti, L.
Author_Institution :
Soft Comput. & Multimedia Archit. Group, SGS-Thomson Microelectron., Catania, Italy
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
Keywords :
cellular neural nets; chaos; cryptography; neural chips; chaotic systems; encryption/decryption key codes; inverse system technique; programmability; secure transmission applications; state controlled cellular neural network-based circuit; synchronisation; transmission security; Cellular neural networks; Chaos; Chaotic communication; Circuits; Computer architecture; Computer networks; Intelligent networks; Microelectronics; Multimedia computing; Resistors;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566609
