基于关系强度的车联网位置隐私保护方法

车联网(internet of vehicles, IoV)中不可靠的社交用户可能会故意泄露用户隐私。为了解决这个问题，提出了一种基于关系强度的车联网位置隐私保护方法。该方法通过分析用户的属性特征和行为特征计算用户的关系强度，并将关系强度较高的用户构建成通信组。其次，使用区块链节点存储组内用户发送的传输数据，这实现了传输数据的可追溯性。实验结果表明，所提方法不仅实现了用户的位置隐私保护，而且还降低了用户通信过程的时延和消息曝光率。

Location privacy protection method for Internet of Vehicles based on relationship strength

Unreliable social users in the Internet of Vehicles (IoV) may deliberately compromise user privacy. In order to solve this problem, a location privacy protection method based on relationship strength is proposed. This method calculates the relationship strength of users by analyzing their attribute and behavior characteristics, and constructs communication groups for users with higher relationship strength. Second, the blockchain node stores the transmission data sent by users within the group, which realizes the traceability of the transmission data. Experimental results show that the proposed method not only protects users'' location privacy but also reduces the time delay and message exposure rate of users in the communication process.