下一代网络5G已经成为当下研究热点。车联网（VANET）作为无线传感网络的一种，随着5G快速发展势必带来革命性的发展。不同于其他的无线传感网络，VANET包含大量的隐私信息，包括身份、内容、位置和轨迹隐私，如果隐私信息未受到有效的保护将会带来安全问题。虽然VANET和5G网络架构能无缝对接，但是5G架构中没有考虑用户的隐私保护。因此本课题深入研究基于5G的VANET隐私保护架构，优化相关的隐私保护技术。首先通过在架构中引入雾层，建立基于雾计算的身份认证机制，保护用户的身份隐私；其次设计VANET区块链，部署在雾节点上，保证各节点数据的一致性和安全性，从而保护用户的内容隐私；然后采用关联性分析法设计抑制函数，在没有信息损失的前提下抑制某些位置数据的上传，保护用户的位置隐私；最后利用位置特性动态划分群区域，提出基于热点动态群生成法来保护用户轨迹隐私。课题的研究将推动VANET应用于5G网络中。

The next generation network 5G has become a research hotspot. Vehicle Ad-hoc Network (VANET), as a kind of wireless sensor network, is bound to bring revolutionary development with the rapid development of 5G. However, unlike other wireless sensor networks, VANET contains a large amount of privacy information, including identity privacy, content privacy, location privacy and trajectory privacy. If the privacy information is not effectively protected, it will cause security problems. Although VANET and 5G architecture can be seamlessly connected, privacy protection is not considered in 5G architecture. Therefore, this project researches the VANET privacy protection architecture based on 5G, and optimize relevant privacy protection technologies. First, by introducing the fog layer into the architecture, a complete access authentication mechanism based on fog computing is established to protect the identity privacy. Second, to protect the content privacy, VANET blockchain is designed and deployed on fog nodes to ensure the consistency and security of data among nodes. Third, the correlation analysis method is used to design the suppression function, which can suppress the upload of some location data without information loss and protect the users’ location privacy. Final, the dynamic clustering method based on hot spots is proposed to protect users’ trajectory privacy. The research of the subject will promote the application of VANET in 5G networks.