Intelligent Impulsive Synchronization of Nonlinear Interconnected Neural Networks for Image Protection

被引:43
作者
Hu, Bin [1 ]
Guan, Zhi-Hong [1 ]
Xiong, Naixue [2 ]
Chao, Han-Chieh [3 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Hubei, Peoples R China
[2] Northeastern State Univ, Dept Math & Comp Sci, Tahlequah, OK 74464 USA
[3] Natl Dong Hwa Univ, Inst & Dept Elect Engn, Hualien 97401, Taiwan
基金
中国国家自然科学基金;
关键词
Broadcast impulse; chaotic signal; image encryption; neural network (NN); nonlinear protocol; synchronization; MULTIAGENT SYSTEMS; COMPLEX NETWORKS; DELAYS;
D O I
10.1109/TII.2018.2808966
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3775 / 3787
页数:13
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