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Filters: Author is Ma, Yumeng  [Clear All Filters]
2023-01-13
Sun, Jun, Liu, Dong, Liu, Yang, Li, Chuang, Ma, Yumeng.  2022.  Research on the Characteristics and Security Risks of the Internet of Vehicles Data. 2022 7th IEEE International Conference on Data Science in Cyberspace (DSC). :299–305.
As 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.