Visible to the public Research on the Characteristics and Security Risks of the Internet of Vehicles Data

TitleResearch on the Characteristics and Security Risks of the Internet of Vehicles Data
Publication TypeConference Paper
Year of Publication2022
AuthorsSun, Jun, Liu, Dong, Liu, Yang, Li, Chuang, Ma, Yumeng
Conference Name2022 7th IEEE International Conference on Data Science in Cyberspace (DSC)
KeywordsCyberspace, data privacy, Data Science, Data security, human factors, Industries, Internet of Vehicle, Metrics, Organizations, pubcrawl, Resiliency, Scalability, security policies, security risk, Standards organizations
AbstractAs a new industry integrated by computing, communication, networking, electronics, and automation technology, the Internet of Vehicles (IoV) has been widely concerned and highly valued at home and abroad. With the rapid growth of the number of intelligent connected vehicles, the data security risks of the IoV have become increasingly prominent, and various attacks on data security emerge in an endless stream. This paper firstly introduces the latest progress on the data security policies, regulations, standards, technical routes in major countries and regions, and international standardization organizations. Secondly, the characteristics of the IoV data are comprehensively analyzed in terms of quantity, standard, timeliness, type, and cross-border transmission. Based on the characteristics, this paper elaborates the security risks such as privacy data disclosure, inadequate access control, lack of identity authentication, transmission design defects, cross-border flow security risks, excessive collection and abuse, source identification, and blame determination. And finally, we put forward the measures and suggestions for the security development of IoV data in China.
DOI10.1109/DSC55868.2022.00047
Citation Keysun_research_2022