基于车流量的兴趣点查询隐私保护
首发时间:2020-11-23
摘要:路网环境下兴趣点查询在生活中路网环境下兴趣点查询隐私保护应用广泛,如何在保证用户位置信息安全的情况下提高用户服务质量是近年来LBS(位置服务)领域研究重点;一方面路段在不同时间段车流量高峰不同POI推荐排序也应不同,同时兴趣点查询过程结合位置隐私保护算法,防止查询过程中伪服务器获取用户位置和查询内容;另一方面根据路况实际情况所能查询到的兴趣点数量也是影响服务质量的因素,根据原始路网数据组织兴趣点分布信息,并通过合并无用兴趣点路段,解决查询返回兴趣点较少问题,提高锚点匿名度。最后从兴趣点查询数量以及查询准确度和安全性方面对本文方法进行分析,通过实验验证该方法的有效性。
关键词: 位置隐私保护 兴趣点存储组织结构 车流量 用户服务质量
For information in English, please click here
Privacy protection of interest point query based on traffic flow
Abstract:Point of interest query under road network environment is widely used in life. How to improve the quality of user service under the condition of ensuring the safety of user\'s location information is the research focus of LBS (location-based service) field in recent years. On the one hand, the POI recommendation ranking should be different when the traffic peak is different in different time periods, and the POI query process should be combined with the location Privacy protection algorithm can prevent pseudo server from obtaining user location and query content during query process; on the other hand, the number of interest points that can be queried according to the actual situation of the road is also a factor affecting the quality of service. According to the original road network data, the distribution information of interest points is organized according to the original road network data, and the problem of fewer returned interest points is solved by merging the useless interest points, and the anchor anonymity is improved Degree. Finally, this paper analyzes the number of query points of interest, query accuracy and security, and verifies the effectiveness of the method through experiments.
Keywords: location privacy protection point of interest storage organization structure traffic flow user service quality
基金:
引用
No.****
同行评议
共计0人参与
勘误表
基于车流量的兴趣点查询隐私保护
评论
全部评论0/1000