南京邮电大学学报（自然科学版）2024，Vol.44Issue(3)：80-92,13.DOI:10.14132/j.cnki.1673-5439.2024.03.010
基于时空关联的车联网假位置筛选算法
A dummy location screening algorithm based on spatial-temporal correlation in Internet of Vehicles
摘要
Abstract
At present,the location privacy protection methods of Internet of Vehicles do not fully consider the change of fake location query probability in different time periods,and ignore the problem that the amount of daily users access to the same location unit varies largely during a continuous time.Therefore,a spatial sensitivity measurement algorithm is proposed in this paper.This algorithm considers the location semantic similarity when selecting the fake location.And a screening index of semantic-spatial sensitivity expectation is provided and a fake location set that meets the requirements of query probability in different time segments and anonymous area is generated.Experimental results demonstrate the feasibility and effectiveness of the proposed algorithm.It can fit the current requirements of location privacy protection for the Internet of vehicles.关键词
车联网/基于位置的服务/空间敏感度/语义相似度/位置隐私/时空关联性Key words
Internet of Vehicles(IoV)/location based services(LBS)/spatial sensitivity/semantic similarity/location privacy/spatio-temporal correlation分类
计算机与自动化引用本文复制引用
张琳,于子豪,刘茜萍..基于时空关联的车联网假位置筛选算法[J].南京邮电大学学报（自然科学版）,2024,44(3):80-92,13.基金项目
国家自然科学基金(61572260,61872196,61872194)、江苏省科技支撑计划(BE2017166)和南京邮电大学校级自然科学基金(NY222142)资助项目 （61572260,61872196,61872194）
