摘要
随着移动智能终端的普遍运用,基于位置服务(LBS)成为了人们生活中必不可少的部分,在提供便捷生活服务的同时,也引发了用户隐私信息泄露的隐患。在考虑背景信息存在的同时,进一步地考量了用户自身和服务提供商短期缓存的查询记录,避免了攻击者利用查询信息的可能性对用户的隐私信息进行猜测并实现推断攻击。基于用户隐私信息自关联的前提下,提出了2种隐私保护方案——简易隐私自关联的隐私保护算法(Ba-2PS)和扩展隐私自关联的隐私保护算法(En-2PS),其中En-2PS从时间和查询范围2个维度扩展了简易隐私自关联的隐私保护算法,提高了从匿名位置单元和匿名查询内容中推测用户真实信息的不确定性。最后,通过隐私性证明和实验结果证明了方案的有效性和安全性。
The prevalence of mobile intelligent terminals gives the location-based service (LBS) more opportunities to enrich mobile users’ lives. However, mobile users enjoy the convenience with the cost of personal privacy. The side information and mobile user’s recent requirement records were considered, which were obtained or stored by the service provider. Based on the existence of recent requirement records, adversary can employ the inference attack to analysis mobile user’s personal in- formation. Therefore, two schemes were proposed, including of basic privacy self-correlation privacy-preserving scheme (Ba-2PS) and enhanced privacy self-correlation privacy-preserving scheme(En-2PS). In En-2PS, the privacy-preserving scheme was designed from two dimensions of aspects of time factor and query region, which increased the uncertainty infer- ring out the real information. Finally, the privacy analysis was illustrated to proof En-2PS’s privacy degree, then the perfor- mance and privacy evaluation results indicate that En-2PS is effective and efficient.
作者
李维皓
曹进
李晖
LI Weihao;CAO Jin;LI Hui(School of Cyber Engineering, Xidian University, Xi'an 710071,China)
出处
《通信学报》
EI
CSCD
北大核心
2019年第5期57-66,共10页
Journal on Communications
基金
国家重点研发计划基金资助项目(No.2017YFB0802203)
国家自然科学基金资助项目(No.61732022
No.61672411
No.61772404
No.U1401251)
陕西省自然科学基础研究计划重大基础研究基金资助项目(No.2016ZDJC-04)~~
关键词
位置服务
隐私保护
位置隐私
查询隐私
k匿名
location service
privacy preservation
location privacy
query privacy
k-anonymity
