A survey of computational location privacy

被引:389
作者
Krumm, John [1 ]
机构
[1] Microsoft Res, Redmond, WA USA
关键词
Location; Privacy; Context;
D O I
10.1007/s00779-008-0212-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This is a literature survey of computational location privacy, meaning computation-based privacy mechanisms that treat location data as geometric information. This definition includes privacy-preserving algorithms like anonymity and obfuscation as well as privacy-breaking algorithms that exploit the geometric nature of the data. The survey omits non-computational techniques like manually inspecting geotagged photos, and it omits techniques like encryption or access control that treat location data as general symbols. The paper reviews studies of peoples' attitudes about location privacy, computational threats on leaked location data, and computational countermeasures for mitigating these threats.
引用
收藏
页码:391 / 399
页数:9
相关论文
共 56 条
[1]  
[Anonymous], 2005, Extended Abstracts on Human Factors in Computing Systems (CHI EA), DOI DOI 10.1145/1056808.1057073
[2]  
[Anonymous], 4 WORKSH EC INF SEC
[3]  
[Anonymous], 2007, NEW YORK POST
[4]   Using GPS to learn significant locations and predict movement across multiple users [J].
Ashbrook, Daniel ;
Starner, Thad .
PERSONAL AND UBIQUITOUS COMPUTING, 2003, 7 (05) :275-286
[5]  
Barkhuus L., 2004, WORKSH LOC SYST PRIV
[6]  
Barkhuus L., 2003, P 9 IFIP TC13 INT C, P709
[7]   Location privacy in pervasive computing [J].
Beresford, AR ;
Stajano, F .
IEEE PERVASIVE COMPUTING, 2003, 2 (01) :46-55
[8]  
Bettini C, 2005, LECT NOTES COMPUT SC, V3674, P185
[9]  
Blackman SS, 1986, Multiple-target tracking with radar applications
[10]  
CANNY J, 2002, WORKSH SOC INF DES P