基于车联网的隐私保护数据聚合研究综述

随着智能网联汽车的普及，用户数据的隐私问题成为了车联网发展中亟待解决的问题。针对车联网聚合方案的研究现状，对当前方案中存在的问题进行分析总结。首先，系统地介绍了车联网中主流系统模型和车联网中常见的攻击模型；其次，对当前国内外应用在车联网中的聚合方案的安全性、效率和优劣进行分析总结，分别从签名阶段聚合方案、用户数据收集和传输阶段聚合方案和云平台处理数据阶段聚合方案三方面对其进行讨论；最后，阐述了车联网聚合方案中存在的问题及解决方法，展望了车联网聚合方案未来的研究方向。

Review of data aggregation research based on privacy protection of Internet of Vehicles

With the popularity of intelligent connected vehicles, user privacy of concerns has hampered the development of Internet of Vehicles. This paper summarized the research status of the vehicle network aggregation scheme and analyzed the problems in the current scheme. Firstly, it introduced the mainstream system models and common attack models in the Internet of Vehicles. Secondly, it summarized the security, efficiency and advantages of domestic and foreign Internet of Vehicles aggregation schemes, and discussed them from three aspects: signature stage aggregation scheme, user data collection and transmission stage aggregation scheme and a cloud platform data processing stage aggregation scheme. Finally, this paper analyzed the existing problems and solutions of the Internet of Vehicles aggregation scheme, and looked forward to the future research direction of the network of vehicles convergence scheme.