现代电子技术2024，Vol.47Issue(14)：182-186,5.DOI:10.16652/j.issn.1004-373x.2024.14.028
抵抗推理攻击的车联网位置隐私增强方法
Method of location privacy enhancement against inference attacks in IoV
摘要
Abstract
Unclear entity credibility in the internet of vehicles(IoV),and frequent communication between users and other entities,can increase the risk of user privacy leakage.Therefore,a location privacy enhancement method against inference attacks in IoV is proposed.User can request the road side units(RSUs)for points of interest(POIs).The multiple suitable POIs are recommended based on user similarity from the local cache,so that the final destination among the multiple POIs is selected.Even if recommended POIs are stolen by an attacker,it is difficult to infer the user's final destination.If users do not find the desired POI,they can request the service provider(SP)to expand the service scope.The simulation results show that in comparison with the comparison method,the communication cost can decrease by 14%on average and the position entropy can increase by 12%on average.The proposed scheme can reduce communication costs and enhance privacy protection by reducing the number of communications with SP.Users can select the final destination by multiple POIs that are more consistent with users' expectations by means of user preference calculation,which can improve service availability and resist inference attacks.关键词
车联网/隐私增强/推理攻击/路边单元/兴趣点/位置隐私保护/基于位置的服务(LBS)/主动缓存Key words
internet of vehicles/privacy enhancement/inference attacks/road side unit/point of interest/location privacy protection/location based services(LBS)/active caching分类
信息技术与安全科学引用本文复制引用
张金瑞,王庆国,黄元浩,邢玲..抵抗推理攻击的车联网位置隐私增强方法[J].现代电子技术,2024,47(14):182-186,5.基金项目
郑州市重大科技创新专项(2021KJZX0060) （2021KJZX0060）
