Inspired by security applications in the industrial Internet of things, this paper focuses on the usage of impulsive neural network (NN) synchronization technique for intelligent image protection against illegal swiping and abuse. A class of nonlinear interconnected NNs with transmission delay and random impulse effect is first formulated and analyzed in this paper. In order to make network protocols more flexible, a randomized broadcast impulsive coupling scheme is integrated into the protocol design. Impulsive synchronization criteria are then derived for the chaotic NNs in the presence of nonlinear protocol and random broadcast impulse, with the impulse effect discussed. Illustrative examples are provided to verify the developed impulsive synchronization results and to show its potential application in image encryption and decryption.

中文翻译：

---

非线性互联神经网络的智能脉冲同步图像保护

受工业物联网中安全应用程序的启发，本文重点介绍了脉冲神经网络（NN）同步技术在智能图像保护中的应用，以防止非法刷卡和滥用。本文首先对一类具有传输延迟和随机脉冲效应的非线性互联神经网络进行了分析。为了使网络协议更加灵活，在协议设计中集成了随机广播脉冲耦合方案。然后，在存在非线性协议和随机广播脉冲的情况下，针对混沌神经网络推导了脉冲同步准则，并讨论了脉冲效应。提供了说明性示例，以验证开发的脉冲同步结果并显示其在图像加密和解密中的潜在应用。