位置隐私保护技术研究进展

万盛; 李凤华; 牛犇; 孙哲; 李晖

doi:10.11959/j.issn.1000-436x.2016279

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位置隐私保护技术研究进展

综述 | 更新时间：2024-06-05

- 位置隐私保护技术研究进展
- Research progress on location privacy-preserving techniques
- 通信学报 2016年37卷第12期页码：124-141
- 作者机构：
  
  1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
  2. 中国科学院信息工程研究所信息安全国家重点实验室，北京 100195
- 作者简介：
  
  [ "万盛（1987-），男，江苏南通人，西安电子科技大学博士生，主要研究方向为网络安全与隐私保护。" ]
  [ "李凤华（1966-），男，湖北浠水人，博士，中国科学院信息工程研究所副总工程师、研究员、博士生导师，主要研究方向为网络与系统安全、隐私计算、可信计算。" ]
  [ "牛犇（1984-），男，陕西西安人，博士，中国科学院信息工程研究所助理研究员，主要研究方向为网络安全、隐私计算。" ]
  [ "孙哲（1987-），男，安徽安庆人，中国科学院信息工程研究所博士生，主要研究方向为信息安全、隐私保护。" ]
  [ "李晖（1968-），男，河南灵宝人，博士，西安电子科技大学教授、博士生导师，主要研究方向为密码学、无线网络安全、云计算安全、信息论与编码理论。" ]
- 基金信息：
  
  国家自然科学基金-广东联合基金资助项目(U1401251);国家高技术研究发展计划(“863”计划）基金资助项目(2015AA016007);国家自然科学基金—青年科学基金资助项目(61502489);国家“核高基”基金资助项目(2015ZX01029101)
- DOI：10.11959/j.issn.1000-436x.2016279
  中图分类号： TN929
- 网络首发：2016-12，
  
  纸质出版：2016-12-25
- 稿件说明：
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万盛, 李凤华, 牛犇, 等. 位置隐私保护技术研究进展[J]. 通信学报, 2016,37(12):124-141.

Sheng WAN, Feng-hua LI, Ben NIU, et al. Research progress on location privacy-preserving techniques[J]. Journal on Communications, 2016, 37(12): 124-141.
万盛, 李凤华, 牛犇, 等. 位置隐私保护技术研究进展[J]. 通信学报, 2016,37(12):124-141. DOI： 10.11959/j.issn.1000-436x.2016279.

Sheng WAN, Feng-hua LI, Ben NIU, et al. Research progress on location privacy-preserving techniques[J]. Journal on Communications, 2016, 37(12): 124-141. DOI： 10.11959/j.issn.1000-436x.2016279.

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。

Abstract

While providing plenty of convenience for users in daily life

the increasingly popular location-based ser-vice(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.

关键词

Keywords

references

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