Asymmetrical vulnerability of heterogeneous multi-agent systems under false-data injection attacks

IF 4.8 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Automatica Pub Date : 2024-10-22 DOI:10.1016/j.automatica.2024.111947
Tian-Yu Zhang , Guang-Hong Yang , Dan Ye
{"title":"Asymmetrical vulnerability of heterogeneous multi-agent systems under false-data injection attacks","authors":"Tian-Yu Zhang ,&nbsp;Guang-Hong Yang ,&nbsp;Dan Ye","doi":"10.1016/j.automatica.2024.111947","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the vulnerability of heterogeneous multi-agent systems (MASs) in face of perfect false-data injection (FDI) attacks that stealthily destabilize the synchronization processes of agents. In contrast to homogeneous dynamics, heterogeneous dynamics can be asymmetrically worsened by attackers, which is a greater challenge for MAS security. First of all, the existence conditions of perfect FDI attacks in different agents are established based on the spectral radius of heterogeneous system matrices. Then, it is proven that the attack targets against communication links are determined by the characteristic space of different agents. Since the attack properties including the attack existence and targets are different in each agent, heterogeneous MASs have the asymmetrical vulnerability under perfect FDI attacks. Finally, a sufficient condition and a necessary condition are obtained to achieve perfect FDI attacks with minimum attack targets. A numerical simulation of heterogeneous MASs is presented to demonstrate the effectiveness of perfect FDI attacks.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111947"},"PeriodicalIF":4.8000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109824004412","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the vulnerability of heterogeneous multi-agent systems (MASs) in face of perfect false-data injection (FDI) attacks that stealthily destabilize the synchronization processes of agents. In contrast to homogeneous dynamics, heterogeneous dynamics can be asymmetrically worsened by attackers, which is a greater challenge for MAS security. First of all, the existence conditions of perfect FDI attacks in different agents are established based on the spectral radius of heterogeneous system matrices. Then, it is proven that the attack targets against communication links are determined by the characteristic space of different agents. Since the attack properties including the attack existence and targets are different in each agent, heterogeneous MASs have the asymmetrical vulnerability under perfect FDI attacks. Finally, a sufficient condition and a necessary condition are obtained to achieve perfect FDI attacks with minimum attack targets. A numerical simulation of heterogeneous MASs is presented to demonstrate the effectiveness of perfect FDI attacks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
异构多代理系统在虚假数据注入攻击下的非对称脆弱性
本文研究了异构多代理系统(MAS)在面对完美的虚假数据注入(FDI)攻击时的脆弱性,这种攻击会隐蔽地破坏代理的同步过程。与同构动力学相比,异构动力学会被攻击者非对称地恶化,这对 MAS 的安全性是一个更大的挑战。首先,基于异构系统矩阵的谱半径,建立了不同代理中完美 FDI 攻击的存在条件。然后,证明针对通信链路的攻击目标是由不同代理的特征空间决定的。由于每个代理的攻击属性(包括攻击存在性和攻击目标)不同,异构 MAS 在完美 FDI 攻击下具有非对称脆弱性。最后,得到了以最小攻击目标实现完美 FDI 攻击的充分条件和必要条件。通过对异构 MAS 进行数值模拟,证明了完美 FDI 攻击的有效性。
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 去求助
来源期刊
Automatica
Automatica 工程技术-工程:电子与电气
CiteScore
10.70
自引率
7.80%
发文量
617
审稿时长
5 months
期刊介绍: Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.
期刊最新文献
Predict globally, correct locally: Parallel-in-time optimization of neural networks Set-based value operators for non-stationary and uncertain Markov decision processes Successive over relaxation for model-free LQR control of discrete-time Markov jump systems Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning Asymmetrical vulnerability of heterogeneous multi-agent systems under false-data injection attacks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1