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

Hui, Minghao; Liu, Xiaoyang; Zhu, Song; Cao, Jinde · Neural Netw · 2024

basic_science · Level V

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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.

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