Privacy through Uncertainty in Location-Based Services

被引：5

作者：

Merrill, Shawn ^{[1
]}

Basalp, Nilguen ^{[2
]}

Biskup, Joachim ^{[3
]}

Buchmann, Erik ^{[4
]}

Clifton, Chris ^{[1
]}

Kuijpers, Bart ^{[5
]}

Othman, Walied ^{[6
]}

Savas, Erkay ^{[7
]}

机构：

[1] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA

[2] Istanbul Bilgi Univ, Dept Law, TR-34440 Istanbul, Turkey

[3] Tech Univ Dortmund, Dept Comp Sci, D-44227 Dortmund, Germany

[4] Karlsruhe Inst Technol, Dept Comp Sci, Karlsruhe, Germany

[5] Hasselt Univ, Database & Theoret Comp Sci, B-3590 Diepenbeek, Belgium

[6] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland

[7] Sabanci Univ, Dept Engn & Nat Sci, Istanbul, Turkey

来源：

2013 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2013), VOL 2 | 2013年

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/MDM.2013.71

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Location-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely? This paper explores the possibility of introducing uncertainty into location information when using an LBS, so as to reduce privacy risk while maintaining good quality of service. This paper also explores the current uses of uncertainty information in a selection of mobile applications.

引用

页码：67 / 72

页数：6

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