基于区块链的车联网群智感知位置隐私保护方法

针对车联网群智感知位置隐私泄露和用户参与任务公平性的问题，提出了一种基于区块链的车联网群智感知位置隐私保护方法(location privacy protection method based on blockchain and crowdsensing, LPPMBC)。将分布式的区块链引入车联网群智感知位置隐私保护方法中，消除第三方服务平台对参与用户数据的控制;通过保序加密和Geohash编码相结合，为参与工人提供多级别的位置隐私保护，确保参与工人位置隐私的保密性;通过Haversine公式进行感知位置验证，防止工人通过非感知区域数据获得非法奖励，保障感知数据的质量。仿真结果表明，LPPMBC能够更好地权衡感知数据质量与工人隐私保护关系，保障用户参与任务的公平性， 提高用户参与任务的积极性。

Location privacy protection method based on blockchain and crowdsensing of internet of vehicles

To solve the problem of location privacy leakage and fairness of user participation tasks in crowdsensing of internet of vehicles, we propose a location privacy protection method based on blockchain and crowdsensing (LPPMBC) of internet of vehicles. First, a distributed blockchain is introduced into the internet of vehicles crowd-sensing location privacy protection method to eliminate the control of third-party service platform over the data of participating users. Secondly, through the combination of sequential encryption and Geohash coding, multi-level location privacy protection is provided for participating workers to ensure the confidentiality of their location privacy. Finally, the semi vector formula is used to verify the perceived location, so as to prevent workers from obtaining illegal rewards through non-perceived area data and ensure the quality of perceived data. Simulation results show that LPPMBC can better balance the relationship between the perceived data quality and worker privacy protection, ensure the fairness of user participation in tasks, and improve the enthusiasm of users participation in tasks.