Privacy-preserving secure control for nonlinear multi-agent systems under hybrid attacks

IF 3.4 2区数学 Q1 MATHEMATICS, APPLIED

Communications in Nonlinear Science and Numerical Simulation Pub Date : 2024-09-21 DOI:10.1016/j.cnsns.2024.108356

Zhiyu Duan , Airong Wei , Xianfu Zhang , Zi-Ming Wang

{"title":"Privacy-preserving secure control for nonlinear multi-agent systems under hybrid attacks","authors":"Zhiyu Duan , Airong Wei , Xianfu Zhang , Zi-Ming Wang","doi":"10.1016/j.cnsns.2024.108356","DOIUrl":null,"url":null,"abstract":"<div><div>In the paper, the privacy-preserving secure bipartite consensus is discussed for nonlinear multi-agent systems within the framework of periodic event-triggered control, where agents suffer from replay attacks and deception attacks. Firstly, draw support from the gain control technique, a compensator-based secure control strategy is designed to effectively resist replay attacks, moreover, a periodic event-triggered mechanism is employed to update the control strategy. Then, to compensate for the effect of hybrid attacks, a novel auxiliary system and an extended observer are constructed. Meanwhile, a time-varying mask function is introduced into the output signal and compensator/observer to realize privacy protection of the initial information. Further, the secure bipartite consensus issue is successfully solved by combining secure control strategies with Lyapunov function method. Particularly, the proposed control strategies are capable of ensuring intermittent communication, removing sampling period limitation and naturally avoiding Zeno behaviour. Finally, the effectiveness of the main results is confirmed via simulation examples.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570424005410","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}

引用次数: 0

Abstract

In the paper, the privacy-preserving secure bipartite consensus is discussed for nonlinear multi-agent systems within the framework of periodic event-triggered control, where agents suffer from replay attacks and deception attacks. Firstly, draw support from the gain control technique, a compensator-based secure control strategy is designed to effectively resist replay attacks, moreover, a periodic event-triggered mechanism is employed to update the control strategy. Then, to compensate for the effect of hybrid attacks, a novel auxiliary system and an extended observer are constructed. Meanwhile, a time-varying mask function is introduced into the output signal and compensator/observer to realize privacy protection of the initial information. Further, the secure bipartite consensus issue is successfully solved by combining secure control strategies with Lyapunov function method. Particularly, the proposed control strategies are capable of ensuring intermittent communication, removing sampling period limitation and naturally avoiding Zeno behaviour. Finally, the effectiveness of the main results is confirmed via simulation examples.

查看原文本刊更多论文

混合攻击下非线性多代理系统的隐私保护安全控制

本文在周期性事件触发控制的框架内，讨论了非线性多代理系统中代理遭受重放攻击和欺骗攻击时的保护隐私的安全两方共识。首先，借鉴增益控制技术，设计了基于补偿器的安全控制策略，以有效抵御重放攻击，并采用周期性事件触发机制更新控制策略。然后，为了补偿混合攻击的影响，构建了一个新型辅助系统和一个扩展观测器。同时，在输出信号和补偿器/观测器中引入了时变掩码函数，以实现初始信息的隐私保护。此外，通过将安全控制策略与 Lyapunov 函数方法相结合，成功地解决了安全两方共识问题。特别是，所提出的控制策略能够确保间歇通信，消除采样周期限制，自然避免 Zeno 行为。最后，通过仿真实例证实了主要结果的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

6.80

自引率

7.70%

发文量

378

审稿时长

78 days

期刊介绍： The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.