位置服务中的查询隐私度量框架研究

张学军 1; 2; 桂小林 1; 冯志超 1; 田丰 1; 余思 1; 赵建强 1

doi:10.7652/xjtuxb201402002

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位置服务中的查询隐私度量框架研究

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- 位置服务中的查询隐私度量框架研究
- A Quantifying Framework of Query Privacy in Location-Based Service
- 西安交通大学学报 2014年48卷第2期页码：8-13+37
- 作者机构：
  
  1. 西安交通大学电子与信息工程学院,西安,710049
  2. 兰州交通大学电子与信息工程学院,兰州,730070
- 作者简介：
- 基金信息：
  
  : 2013-05-18。作者简介: 张学军(1977—),男,博士生;桂小林(通信作者),男,教授。基金项目: 国家自然科学基金资助项目(61172090,61163010);国家高技术研究发展计划重大专项资助项目(2012ZX03002001);教育部高等学校博士学科点专项科研基金资助项目(20120201110013);陕西省科技发展计划“十五”攻关资助项目(2012K06-30)
- DOI：10.7652/xjtuxb201402002
  中图分类号： TP309
- 网络首发：2014-02-10，
  
  纸质出版：2014
- 稿件说明：
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张学军 1, 2, 桂小林 1, 等. 位置服务中的查询隐私度量框架研究[J]. 西安交通大学学报, 2014,48(2):8-13+37.

A Quantifying Framework of Query Privacy in Location-Based Service[J]. 2014, 48(2): 8-13+37.
张学军 1, 2, 桂小林 1, 等. 位置服务中的查询隐私度量框架研究[J]. 西安交通大学学报, 2014,48(2):8-13+37. DOI： 10.7652/xjtuxb201402002.

A Quantifying Framework of Query Privacy in Location-Based Service[J]. 2014, 48(2): 8-13+37. DOI： 10.7652/xjtuxb201402002.

摘要

针对查询隐私度量机制存在过高评价用户隐私保护水平的问题

提出一个泛化的查询隐私度量框架。该框架将影响用户查询隐私的各种因素放在一起统一考虑

形式化定义用户、攻击者、隐私保护机制和隐私度量指标

提供了一种融合攻击者背景知识和推理能力的系统的隐私度量方法

可在相同条件下正确度量多种查询隐私保护机制的有效性

帮助用户选取合适的隐私需求以获得隐私保护和服务质量之间的平衡。在由Thomas Brinkhoff路网数据生成器生成的数据集上进行的模拟实验验证了该框架的有效性和准确性。

Abstract

A generalized quantification framework for evaluating user query privacy is proposed to address the overestimation of user's privacy protection level offered by query privacy protection mechanism in location-based services. The framework is to comprehensively take the various elements and relations that influence the query privacy of mobile users into account together and to formally define the mobile user

adversary

privacy protection mechanism and privacy metrics which reflect the user's privacy and service quality requirements. Moreover

the framework provides a systematic approach with integrating adversary's background knowledge available to and reasoning abilities in privacy quantification. The method can correctly evaluate the effectiveness of various query privacy protection mechanisms under the same conditions

and can help user to select appropriate privacy requirements to achieve a right tradeoff between privacy protection and service quality. The effectiveness and accuracy of the framework are verified through a set of experiments on datasets generated by network-based generator of moving objects proposed by Thomas Brinkhoff.

关键词

Keywords

references

PAN Xiao, XU Jianliang, MENG Xiaofeng. Protection location privacy against location-dependent attacks in mobile services[J]. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(8): 1506-1519.

XU T, CAI Ying. Exploring historical location data for anonymity preservation in location-based services[C]∥Proceedings of the 27th IEEE International Conference on Computer Communications. Piscataway, NJ, USA: IEEE, 2008: 1220-1228.

PING A, ZHANG Nan, FU Xinwen, et al. Protection of query privacy for continuous location based services[C]∥Proceedings of the 30th IEEE International Conference on Computer Communications. Piscataway, NJ, USA: IEEE, 2011: 1710-1718.

SHOKRI R, THEODORAKOPOULOS G, TRONCOSO C, et al. Protecting location privacy: optimal strategy against localization attacks[C]∥Proceedings of the 19th ACM Conference on Computer and Communication Security. New York, USA: ACM, 2012: 617-626.

GRUTESER M, GRUNWALD D. Anonymous usage of location-based services through spatial and temporal cloaking[C]∥Proceedings of the First International Conference on Mobile Systems, Application, and Services. New York, USA: ACM, 2003: 31-42.

林欣, 李善平, 杨朝会. LBS中连续查询攻击算法及匿名性度量[J]. 软件学报, 2009, 20(4): 1058-1068.

LIN Xin, LI Shanping, YANG Zhaohui. Attacking algorithms against continuous queries in LBS and anonymity measurement[J]. Journal of Software, 2009, 20(4): 1058-1068.

SHOKRI R, TRONCOSO C, DIAZ C. Unraveling an old cloak: k-anonymity for location privacy[C]∥Proceedings of the 2010 ACM Workshop on Privacy in the Electronic Society. New York, USA: ACM, 2012: 115-118.

SHOKRI R, FREUDIGER J, JADLIWALA M, et al. A distortion-based metric for location privacy[C]∥Proceedings of the 8th ACM Workshop on Privacy in the Electronic Society. New York, USA: ACM, 2009: 21-30.

SHOKRI R, THEODORAKOPOUS G, BOUDEC J-Y L, et al. Quantifying location privacy[C]∥Proceedings of the 32nd IEEE Symposium on Security and Privacy. Piscataway, NJ, USA: IEEE, 2011: 247-262.

CHEN Xihui, PANG Jun. Measuring query privacy in location-based services[C]∥Proceedings of the Second ACM Conference on Data and Application Security and Privacy. New York, USA: ACM, 2012: 49-60.

SHIN H, ATLURI V, VAIDYA J. A profile anonymization model for privacy in a personalized location base service environment[C]∥Proceedings of the 9th International Conference on Mobile Data Management. Piscataway, NJ, USA: IEEE, 2008: 73-80.

BRINKHOFF T. A framework for generating network-based moving objects[J]. GeoInformatica, 2002, 6(2): 153-180.

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