Lianlian Ma , Zhengxin Wang , Mei Hong , Cong Zheng , Min Xiao
{"title":"伪数据注入攻击下多路网络的双部同步控制","authors":"Lianlian Ma , Zhengxin Wang , Mei Hong , Cong Zheng , Min Xiao","doi":"10.1016/j.cnsns.2025.109336","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, the bipartite synchronization problem of leader-follower multiplex networks under false data injection (FDI) attacks is studied via pinning control. The sensor-to-controller channels of followers directly connected to the leader are compromised by FDI attacks. Firstly, followers that are directly connected to the leader in each layer of multiplex networks are controlled to reach bipartite synchronization under FDI attacks. Then, the results are further extended to the multiplex networks, where only the followers in the first few layers that are connected to the leader are controlled. Finally, stochastic FDI attacks are considered. In order to eliminate the influence of FDI attacks, observers and attack compensators are designed. Based on the observer data and compensator data, control strategies are designed and sufficient criteria of bipartite bounded synchronization are obtained. Moreover, stochastic FDI attacks follow Bernoulli distribution. Furthermore, the simulation results verify the effectiveness of the proposed control strategies.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109336"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bipartite synchronization for multiplex networks under false data injection attacks via pinning control\",\"authors\":\"Lianlian Ma , Zhengxin Wang , Mei Hong , Cong Zheng , Min Xiao\",\"doi\":\"10.1016/j.cnsns.2025.109336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, the bipartite synchronization problem of leader-follower multiplex networks under false data injection (FDI) attacks is studied via pinning control. The sensor-to-controller channels of followers directly connected to the leader are compromised by FDI attacks. Firstly, followers that are directly connected to the leader in each layer of multiplex networks are controlled to reach bipartite synchronization under FDI attacks. Then, the results are further extended to the multiplex networks, where only the followers in the first few layers that are connected to the leader are controlled. Finally, stochastic FDI attacks are considered. In order to eliminate the influence of FDI attacks, observers and attack compensators are designed. Based on the observer data and compensator data, control strategies are designed and sufficient criteria of bipartite bounded synchronization are obtained. Moreover, stochastic FDI attacks follow Bernoulli distribution. Furthermore, the simulation results verify the effectiveness of the proposed control strategies.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"152 \",\"pages\":\"Article 109336\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-09-19\",\"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/S1007570425007452\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425007452","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Bipartite synchronization for multiplex networks under false data injection attacks via pinning control
In this paper, the bipartite synchronization problem of leader-follower multiplex networks under false data injection (FDI) attacks is studied via pinning control. The sensor-to-controller channels of followers directly connected to the leader are compromised by FDI attacks. Firstly, followers that are directly connected to the leader in each layer of multiplex networks are controlled to reach bipartite synchronization under FDI attacks. Then, the results are further extended to the multiplex networks, where only the followers in the first few layers that are connected to the leader are controlled. Finally, stochastic FDI attacks are considered. In order to eliminate the influence of FDI attacks, observers and attack compensators are designed. Based on the observer data and compensator data, control strategies are designed and sufficient criteria of bipartite bounded synchronization are obtained. Moreover, stochastic FDI attacks follow Bernoulli distribution. Furthermore, the simulation results verify the effectiveness of the proposed control strategies.
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.