Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date:

Abstract

This paper investigates the cluster synchronization of coupled neural networks with reaction-diffusion terms. With the help of impulsive control strategies, some cluster synchronization criteria are proposed by an appropriate event-triggered mechanism. A numerical example is given to verify the validity of the theoretical results. Additionally, the proposed event-triggered impulsive synchronization is successfully applied to image encryption with encouraging cryptanalysis results demonstrating its strong ability to efficiently encrypt images.

Authors

  • Minghao Hui
    School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China.
  • Xiaoyang Liu
    School of Computer Science & Technology, Jiangsu Normal University, Xuzhou 221116, China. Electronic address: liuxiaoyang1979@gmail.com.
  • Song Zhu
    College of Sciences, China University of Mining and Technology, Xuzhou, 221116, China. Electronic address: songzhu82@gmail.com.
  • Jinde Cao