A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving

doi:10.1109/TIV.2023.3337345

	A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving
	Yang, Jing 1,2; Ni, Qinghua 3; Luo, Guiyang 4; Cheng, Qi 5,6; Oukhellou, Latifa 7; Han, Shuangshuang8
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
ISSN	2379-8858
	2023-12-01
卷号	8 期号:12 页码:4678-4681
通讯作者	Han, Shuangshuang(hanss@ustb.edu.cn)
摘要	The potential of the Internet of Vehicles (IoV) to reduce on-board system costs in autonomous vehicles through shared intelligence is considerable. However, it still faces significant challenges, including concerns over data breaches and privacy, inefficiencies and limited fault tolerance in centralized management, and the challenge of ensuring data accuracy. This letter marks the inaugural report from a series of IEEE Transactions on Intelligent Vehicles (TIV) Trustworthy IoV Workshops, which aim to address these issues. In these workshops, we explore the concept of a decentralized IoV (DeIoV), underpinned by decentralized autonomous organizations and operations (DAOs), to facilitate trustworthy interactions between vehicles and other entities. The proposed DeIoV is structured in two layers: the local DAO layer and the global DAO layer. This dual-layer architecture distinguishes between real-time and non-real-time decision-making tasks, aiding in their efficient completion. To ensure data security, integrity, and accuracy, we employ blockchain technology and smart contracts, which allow for mutual verification among adjacent members and utilize encryption algorithms. A reputation value-based voting mechanism for decision-making is also introduced, which helps prevent the monopolization of power through token-based systems, a common issue in traditional DAOs. Ultimately, we believe that DeIoV has the potential to create a trustworthy IoV ecosystem, contributing significantly to safe, secure, and collaborative autonomous driving.
关键词	Autonomous driving Decentralized applications blockchain decentralized autonomous organizations and operations internet of vehicles smart contracts
DOI	10.1109/TIV.2023.3337345
关键词[WOS]	ORGANIZATIONS ; INTELLIGENCE
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
项目资助者	National Key Research and Development Program 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:001140418700006
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：5[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/173211/55392
专题	多模态人工智能系统全国重点实验室
通讯作者	Han, Shuangshuang
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China 4.Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China 5.China Univ Min & Technol, Sch Mech & Elect Engn, Beijing 100083, Peoples R China 6.Univ Min & Technol Beijing, Inner Mongolia Res Inst, Ordos 017000, Peoples R China 7.Univ Gustave Eiffel, COSYS GRETTIA, F-77420 Champs Sur Marne, France 8.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yang, Jing,Ni, Qinghua,Luo, Guiyang,et al. A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(12):4678-4681.
APA	Yang, Jing,Ni, Qinghua,Luo, Guiyang,Cheng, Qi,Oukhellou, Latifa,&Han, Shuangshuang.(2023).A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(12),4678-4681.
MLA	Yang, Jing,et al."A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.12(2023):4678-4681.