中文摘要：

日趋流行的基于位置服务（LBS,location-based service）在为人们日常生活带来便利的同时也严重威胁到用户隐私。位置隐私保护技术逐渐成为研究热点,并涌现出大批研究成果。首先介绍位置隐私保护背景知识,包括位置服务应用场景、位置服务体系框架、隐私保护目标和系统构架;接着讨论LBS中的攻击者模型和隐私保护度量指标;然后对4种基于泛化和模糊的LBS隐私保护技术进行深入分析和总结;最后给出了未来LBS隐私保护技术潜在的研究方向。

英文摘要：

While providing plenty of convenience for users in daily life, the increasingly popular location-based service（LBS） posed a serious threat to users＇ privacy. The research about privacy-preserving techniques for LBS is becoming a hot spot, and there are a large number of research results. First, background information of privacy protection for LBS was introduced, including application scenarios of LBS, the LBS framework, objects of privacy protection and system architectures of privacy protection. Second, adversary models and metrics for privacy protection in LBS was discussed. Third, four types of privacy-preserving techniques based on generalization and obfuscation for LBS were analyzed and summarized thoroughly. Finally, the potential research directions for privacy-preserving techniques for LBS in the future were shown.