中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective

文献类型:期刊论文

作者Ju, Zhiyang5; Zhang, Hui5; Li, Xiang5; Chen, Xiaoguang3,4; Han, Jinpeng1,2; Yang, Manzhi3,4
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2022-12-01
卷号7期号:4页码:815-837
ISSN号2379-8858
关键词Connected vehicles Anomaly detection Connected and automated vehicles attack anomaly detection resilience strategy safety and security
DOI10.1109/TIV.2022.3186897
通讯作者Zhang, Hui(huizhang285@gmail.com)
英文摘要Recent advances in attack/anomaly detection and resilience strategies for connected and automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective. Compared to traditional vehicles, CAVs are featured in the increasing number of perception sensors, advanced intra-vehicle communication technologies, capabilities of driving automation and connectivity between single vehicles. These features bring about safety issues which are not encountered in traditional vehicle systems. One main type of these issues is the attack or anomaly launched onto the perception sensors and the communication channels. With such a consideration, this survey summarizes and reviews the existing results on attack/anomaly detection and resilience of CAVs in control frameworks. This paper reviews the results according to the positions at which the attacks/anomalies occur. These positions are divided into three categories, namely, intra-vehicle communication network, perception sensors and inter-vehicle communication network. From this perspective, the recent attack/anomaly detection and resilience results are reviewed according to different positions attacked. After reviewing existing results, some potential research directions and challenges are identified.
WOS关键词CYBER-PHYSICAL SYSTEMS ; ADAPTIVE CRUISE CONTROL ; SECURE STATE ESTIMATION ; JAMMING ATTACKS ; MODEL ; IMPACT ; COUNTERMEASURES ; CHALLENGES ; NETWORK ; DESIGN
资助项目National Natural Science Foundation of China[U1864201]
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000906805200004
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/51377]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Zhang, Hui
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China
3.Macao Univ Sci & Technol, Macau 999078, Peoples R China
4.Eversec Technol Co Ltd, Beijing 100098, Peoples R China
5.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Ju, Zhiyang,Zhang, Hui,Li, Xiang,et al. A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2022,7(4):815-837.
APA Ju, Zhiyang,Zhang, Hui,Li, Xiang,Chen, Xiaoguang,Han, Jinpeng,&Yang, Manzhi.(2022).A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,7(4),815-837.
MLA Ju, Zhiyang,et al."A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 7.4(2022):815-837.

入库方式: OAI收割

来源:自动化研究所

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