Secure synchronization of complex networks under deception attacks against vulnerable nodes

被引:29
|
作者
Ding, Dong [1 ]
Tang, Ze [1 ]
Wang, Yan [1 ,2 ]
Ji, Zhicheng [1 ,2 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Engn Res Ctr Internet Things Technol Applicat, Minist Educ, Wuxi 214122, Jiangsu, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金; 国家重点研发计划;
关键词
Secure synchronization; False data injection; Average impulsive gain; Deception attack; MARKOV JUMP SYSTEMS; MULTIAGENT SYSTEMS; IMPULSIVE CONTROL; NEURAL-NETWORKS; FAULT-DETECTION; TIME; CONSENSUS; FEEDBACK; SENSOR;
D O I
10.1016/j.amc.2021.126017
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Secure synchronization for a class of nonlinearly coupled complex networks with deception attacks is investigated in this paper. False data caused by deception attacks is assumed to be injected into both the sensor-to-controller channels and the controller-to-actuator channels, which is modelled by Bernoulli stochastic variable. A distributed controller combined with impulsive protocol is applied for realizing the secure synchronization. By jointly applying the definition of average impulsive gain, the definition of average impulsive interval and the Lyapunov stability theorem, sufficient criteria are obtained to ensure the secure synchronization within the given error bound. In addition, pinning impulsive method is proposed to describe the attacks on vulnerable systems in complex networks, therefore, the theorem is extended to a less conservative situation. Finally, two numerical examples are presented to illustrate the effectiveness of theoretical results. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页数:16
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