Title :
Hyperchaotic dynamic generation via SC-CNNs for secure transmission applications
Author :
Caponetto, R. ; Fortuna, L. ; Occhipinti, L. ; Xibilia, Maria Gabriella
Author_Institution :
SC&MT Group, SGS-Thomson Microelectron., Catania, Italy
Abstract :
In this paper is proposed a cellular neural net (CNN) based circuit for secure communication applications. An hyperchaotic Saito oscillator (1990) is designed using a configuration of cellular neural network named state-controlled CNN. A secure communication system, based on chaotic inverse system synchronization, is described and results for a prototype circuit realization are reported
Keywords :
Chua´s circuit; cellular neural nets; chaos; oscillators; security of data; synchronisation; CNN-based circuit; SC-CNN; cellular neural net; chaotic inverse system synchronization; circuit realization; hyperchaotic dynamic generation; secure transmission applications; state-controlled CNN; Cellular neural networks; Chaos; Chaotic communication; Circuits; Communication system control; Control systems; Hysteresis; Microelectronics; Oscillators; State-space methods;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682316
