位置服务隐私保护

Privacy preservation for location-based services

隐私的泄露问题不仅包含用户提交的位置和查询数据,更是包含了其中隐藏的用户身份、兴趣爱好、社会习惯、行为模式等。对位置服务隐私保护的技术进行综述,介绍了位置服务的应用场景、位置隐私的攻击方法。对现有的隐私保护体系结构和保护技术进行整理归纳。对未来的研究进行了展望,并提出一种基于缓存的时空扰动方法和LBS隐私保护度量假设方案。

The disclosure of privacy involves not only the users' locations and queries data, but also the users' identities, interests, social habits, behavior patterns and privacy hidden in these data. A review of privacy preserving for location-based services (LBS) is provided. The application scenarios of location services is introduced, the method of location privacy attack is given. The existing research on the privacy protection system structure and protection technology is summarized. Finally, future research is prospected, and a cache-based spatiotemporal disturbance method and LBS privacy protection metric hypothesis scheme are proposed.