细胞神经网络动态特性及其在保密通信中的应用

The Dynamic Character of Cellular Neural Network with Applications to Secure Communication

本文首先引入了细胞神经网络电路，讨论了其三阶和高阶网络的动态特性，并由此提出了一种基于细胞神经网络的保密通信系统。数值仿真证明两端系统之间的同步仅需要传输一个驱动信号就可达到。由于细胞神经网络自身的优点，在通信方面具有良好的通信保密性和系统同步的鲁棒性。

In this paper,we introduce the cellular neural network circuits and discuss the dynamic characteristics of its three and higher networks Then, we present a secure communication system based on cellular neural network Numerical simulation show synchronization behavior by only using a transmitted driving signal Because of the advantages of cellular neural network, this system is more secure and synchronization is more robust