A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective

doi:10.1109/TIV.2022.3186897

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective
	Ju, Zhiyang 1; Zhang, Hui1 ; Li, Xiang 1; Chen, Xiaoguang 2,3; Han, Jinpeng 4,5; Yang, Manzhi 2,3
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
ISSN	2379-8858
	2022-12-01
卷号	7 期号:4 页码:815-837
通讯作者	Zhang, Hui(huizhang285@gmail.com)
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.
关键词	Connected vehicles Anomaly detection Connected and automated vehicles attack anomaly detection resilience strategy safety and security
DOI	10.1109/TIV.2022.3186897
关键词[WOS]	CYBER-PHYSICAL SYSTEMS ; ADAPTIVE CRUISE CONTROL ; SECURE STATE ESTIMATION ; JAMMING ATTACKS ; MODEL ; IMPACT ; COUNTERMEASURES ; CHALLENGES ; NETWORK ; DESIGN
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[U1864201]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Computer Science ; Engineering ; Transportation
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000906805200004
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：38[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51378
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Zhang, Hui
作者单位	1.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China 2.Eversec Technol Co Ltd, Beijing 100098, Peoples R China 3.Macao Univ Sci & Technol, Macau 999078, Peoples R China 4.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, 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.