DocumentCode :
323391
Title :
A secure communication scheme based on cellular neural network
Author :
Yifeng, Zhang ; Zhengya, He
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
1
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
521
Abstract :
In this paper, cellular neural network (CNN) circuits are introduced and the dynamic characters of third order and higher order networks are discussed. Then, a secure communication system based on CNN is presented. Numerical simulation shows the synchronization behavior by only using a transmitted driving signal. Because of the advantages of CNN, this system is more secure and robust
Keywords :
cellular neural nets; chaos; neural chips; numerical analysis; security of data; spread spectrum communication; synchronisation; cellular neural network; chaos; higher order networks; neural network circuits; numerical simulation; robustness; secure communication scheme; spread spectrum communication; synchronization; third order networks; Cellular networks; Cellular neural networks; Chaotic communication; Circuit noise; Coupling circuits; Helium; Neural networks; Numerical simulation; Robustness; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.672837
Filename :
672837
Link To Document :
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