Location Privacy Protection Method for Internet of Vehicles Based on Relationship Strength
王庆国 1刘路路 2贾晓凡 2邢玲2
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作者信息
1. 宇通客车股份有限公司,郑州 450016
2. 河南科技大学信息工程学院, 洛阳 471000
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摘要
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.
Abstract
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 was proposed.This method calculates the relationship strength of users by analyzing their attribute and behavior characteristics,and constructs communication groups for users with higher re-lationship strength.Second,the blockchain node stores the transmission data sent by users within the group,which realizes the tracea-bility of the transmission data.Experimental results show that the proposed method not only protects users'location privacy but also re-duces the time delay and message exposure rate of users in the communication process.
关键词
车联网/位置隐私保护/关系强度/通信组/区块链
Key words
internet of vehicles/location privacy protection/relationship strength/communication groups/blockchain
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