期刊文献+

基于k-匿名的轨迹数据隐私发布研究综述 被引量:3

A Research Review on Privacy-Preserving of Trajectory Data Publishing Based on K-Anonymity
下载PDF
导出
摘要 随着移动定位技术的发展,大量移动轨迹数据使信息泄露于公开的互联空间中,使攻击者可以通过计算推理挖掘轨迹信息。轨迹数据发布的隐私保护是近年来网络空间安全领域研究的热点问题。为了防止该类轨迹数据隐私的泄露,通常采用k-匿名技术实现轨迹的隐私保护。该技术在国内外研究中取得了一定的成果。本文阐述了轨迹隐私保护的相关定义及研究方法,对国内外移动轨迹数据k-匿名隐私保护研究的成果进行了总结,并介绍了国内外有关轨迹数据k-匿名隐私保护研究的相关技术。同时对国内外的技术进行了比较,详细叙述了国外与国内各自方法的优点,指出了研究中存在的不足与今后研究的大致方向。 With the development of mobile localization technology,large amounts of mobile trajectory data expose information to open cyberspace,so that hackers can dig out trajectory data by computing and reasoning.Recently,privacy-preserving of trajectory data publishing is one of the hottest topics in Internet security.In order to prevent the disclosure of trajectory data,k-anonymous privacy preserving model is widely applied,on which some research achievements have been made both at home and abroad.This paper presents some related defnitions and research methods in trajectory data privacy preserving,summarizes domestic and abroad research achievements on the k-anonymous privacy preserving of mobile trajectory data,introduces and compares related technology on the k-anonymous privacy preserving of mobile trajectory data both at home and abroad,elaborates on respective advantages of each method at home and abroad,and points out the limitation in previous studies and the direction in future studies.
作者 赵凯毅 朱麟 路士兵 ZHAO Kaiyi;ZHU Lin;LU Shibing(Department of Electronics,China Maritime Police Academy,Ningbo 315801,China)
出处 《软件工程》 2017年第12期12-15,共4页 Software Engineering
基金 公安部技术研究计划项目(2016JSYJC60) "十三五"浙江省一流学科建设信息与通信工程资助
关键词 轨迹数据 轨迹数据发布 隐私保护 K-匿名 trajectory data trajectory data publishing privacy preserving k-anonymity
  • 相关文献

参考文献3

二级参考文献76

  • 1潘晓,肖珍,孟小峰.位置隐私研究综述[J].计算机科学与探索,2007,1(3):268-281. 被引量:65
  • 2Gruteser M, Grunwald D. Anonymous usage of locationbased services through spatial and temporal cloaking//Proceedings of the 1st International Conference on Mobile Sys tems, Applications, and Services (MobiSys 2003). San Fransisco, 2003: 31 -42.
  • 3Mokbel M F, Chow C Y, Aref W G. The newcasper: Query processing for location services withoutcompromising privacy//Proceedings of the 32nd Conference of Very Large Databases (VLDB 2006). Seoul, 2006: 763-774.
  • 4Bamba B, Liu L. Supporting anonymous location queries in mobile environments with privacy grid//Proceeding of the 17th International Conference on World Wide Web (WWW 2008). Beijing, 2008:237-246.
  • 5Pan X, Meng X, Xu J. Distortion-based anonymity for continuous queries in location-based mobile services//Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2009). Washington, 2009:256-265.
  • 6Krumm J. A survey of computational location privacy. Personal and Ubiquitous Computing, 2009, 13(6): 391-399.
  • 7Bettini C, Wang S X, Jajodia S. Protecting privacy against location-based personal identification//Proceedings of the 2nd VLDB workshop on Secure Data Management (SDM2005). Trondheim, 2005:185-199.
  • 8Krumm J. Inference attacks on location tracks//Proceedings of the 5th International Conference on Pervasive Computing (PERVASIVE 2007). Toronto, 2007:127-143.
  • 9Luper D, Cameron D, Miller J A, Arabnia H R. Spatial and temporal target association through semantic analysis and GPS data mining//Proceedings of the 2007 International Conference on Information & Knowledge Engineering (IKE 2007). LasVegas, 2007:251-257.
  • 10Xu T, Cai Y. Exploring historical location data for anonymity preservation in location-based services//Proceedings of the 27th Conference on Computer Communications (INFOCOM 2008). Phoenix, 2008:547-555.

共引文献122

同被引文献20

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部