Jamming transition in intelligent driver model integrating fault-tolerant control to counteract cyber-attacks within cellular vehicle-to-everything environments

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Huili Tan, Yuanlong Sun, Dongxue Xia, Guanghan Peng
{"title":"Jamming transition in intelligent driver model integrating fault-tolerant control to counteract cyber-attacks within cellular vehicle-to-everything environments","authors":"Huili Tan, Yuanlong Sun, Dongxue Xia, Guanghan Peng","doi":"10.1016/j.chaos.2025.117147","DOIUrl":null,"url":null,"abstract":"In the ‘vehicle-road-cloud’ (VRC) architecture, roadside units (RSUs) and on-board units (OBUs) remain acutely vulnerable to diverse cyber-attack threats within the cellular vehicle-to-everything (C-V2X) environment. Recognizing the profound impact of potential cyber-attacks on RSUs and OBUs within this VRC framework, we crafted an intelligent driving model explicitly incorporating the detrimental effects of such attacks on these critical components for connected automated vehicles (CAVs). Furthermore, we implemented a specialized fault-tolerant control method designed for robust safety compensation to resist cyber-attacks in the C-V2X context. Through rigorous linear stability analysis, we deduced precise stability conditions pertaining to fault-tolerant control to boycott cyber-attacks, which indicates that cyber-attacks have disrupted the stability of CAVs, while fault-tolerant control effectively suppresses the negative impact of cyber-attacks. Additionally, Simulation results starkly reveal that cyber-attacks severely compromise traffic safety; denial-of-service (DoS) attacks prove especially detrimental to connected vehicle security. Crucially, the safety compensation fault-tolerant control method dramatically mitigates the destabilizing fluctuations induced by cyber-attacks, highlighting its indispensable contribution to enhanced traffic safety.","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"7 1","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1016/j.chaos.2025.117147","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

In the ‘vehicle-road-cloud’ (VRC) architecture, roadside units (RSUs) and on-board units (OBUs) remain acutely vulnerable to diverse cyber-attack threats within the cellular vehicle-to-everything (C-V2X) environment. Recognizing the profound impact of potential cyber-attacks on RSUs and OBUs within this VRC framework, we crafted an intelligent driving model explicitly incorporating the detrimental effects of such attacks on these critical components for connected automated vehicles (CAVs). Furthermore, we implemented a specialized fault-tolerant control method designed for robust safety compensation to resist cyber-attacks in the C-V2X context. Through rigorous linear stability analysis, we deduced precise stability conditions pertaining to fault-tolerant control to boycott cyber-attacks, which indicates that cyber-attacks have disrupted the stability of CAVs, while fault-tolerant control effectively suppresses the negative impact of cyber-attacks. Additionally, Simulation results starkly reveal that cyber-attacks severely compromise traffic safety; denial-of-service (DoS) attacks prove especially detrimental to connected vehicle security. Crucially, the safety compensation fault-tolerant control method dramatically mitigates the destabilizing fluctuations induced by cyber-attacks, highlighting its indispensable contribution to enhanced traffic safety.
集成容错控制的智能驾驶员模型中的干扰转换,以抵抗蜂窝车对万物环境中的网络攻击
在“车辆-道路-云”(VRC)架构中,路边单元(rsu)和车载单元(OBUs)在蜂窝车联网(C-V2X)环境中仍然极易受到各种网络攻击威胁。在VRC框架内,我们认识到潜在的网络攻击对rsu和OBUs的深远影响,因此我们设计了一个智能驾驶模型,明确地将此类攻击对联网自动驾驶汽车(cav)关键部件的有害影响纳入其中。此外,我们实现了一种专门的容错控制方法,旨在实现鲁棒安全补偿,以抵御C-V2X环境中的网络攻击。通过严格的线性稳定性分析,我们推导出针对网络攻击的容错控制的精确稳定性条件,表明网络攻击破坏了cav的稳定性,而容错控制有效地抑制了网络攻击的负面影响。此外,仿真结果表明,网络攻击严重危及交通安全;事实证明,拒绝服务(DoS)攻击对联网车辆的安全性尤其有害。重要的是,安全补偿容错控制方法显著减轻了网络攻击引起的不稳定波动,突出了其对提高交通安全的不可缺少的贡献。
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
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信