摘要
车联网大数据的发展为智慧交通发展、政府统一管理发展带来了机遇。然而,车辆与用户、车辆与平台之间频繁的数据交换,产生了大量用户数据,对于这些数据的保护措施是否满足用户隐私保护需求是车联网产业发展面临的关键问题。基于此,分析了目前车联网用户数据所面临的威胁,并从车联网用户数据生命周期角度分析了保护要求,最后讨论了车联网用户数据分级分类原则和评估方法。
The development of big data in the Internet of Vehicles(IoV)produces opportunities for smart transportation and unified government management.However,frequent data exchanges among vehicles,users,and platforms generate a large amount of user data.Whether the protection measures for these data meet user privacy protection requirements is a key issue for IoV industry.This paper analyzes the threats and protection requirements from the perspective of the IoV user data life cycle,and finally discusses the principles and evaluation methods on user data classification.
作者
王艳艳
桂丽
蔡亚芬
WANG Yanyan;GUI Li;CAI Yafen(Shanghai International Automobile City Group Co.,Ltd.,Shanghai 201805,China;CTTL System Laboratory,China Academy of Information and Communications Technology,Beijing 100191,China)
出处
《信息通信技术与政策》
2020年第8期68-71,共4页
Information and Communications Technology and Policy
基金
上海市科委技术标准专项项目(No.18DZ2202500)
上海市战略性新兴产业重大项目资助。
关键词
车联网
隐私保护
数据安全
Internet of Vehicles
privacy protection
data security