Protecting Privacy Against Location-Based Personal Identification
C. Bettini, X. SeanWang, and S. Jajodia. Proceedings of 2nd VLDB Workshop on Secure Data Management (SDM), volume 3674/2005 of Lecture Notes in Computer Science, page 185-199. springer, (2005)
Abstract
This paper presents a preliminary investigation on the privacy issues involved in the use of location-based services. It is argued that even if the user identity is not explicitly released to the service provider, the geo-localized history of user-requests can act as a quasi-identifier and may be used to access sensitive information about specific individuals. The paper formally defines a framework to evaluate the risk in revealing a user identity via location information and presents preliminary ideas about algorithms to prevent this to happen.
%0 Conference Paper
%1 Ref-Bettini-2005
%A Bettini, C.
%A SeanWang, X.
%A Jajodia, S.
%B Proceedings of 2nd VLDB Workshop on Secure Data Management (SDM)
%D 2005
%I springer
%K modap
%P 185-199
%T Protecting Privacy Against Location-Based Personal Identification
%U http://www.springerlink.com/content/f848008516886231/
%V 3674/2005
%X This paper presents a preliminary investigation on the privacy issues involved in the use of location-based services. It is argued that even if the user identity is not explicitly released to the service provider, the geo-localized history of user-requests can act as a quasi-identifier and may be used to access sensitive information about specific individuals. The paper formally defines a framework to evaluate the risk in revealing a user identity via location information and presents preliminary ideas about algorithms to prevent this to happen.
@inproceedings{Ref-Bettini-2005,
abstract = {This paper presents a preliminary investigation on the privacy issues involved in the use of location-based services. It is argued that even if the user identity is not explicitly released to the service provider, the geo-localized history of user-requests can act as a quasi-identifier and may be used to access sensitive information about specific individuals. The paper formally defines a framework to evaluate the risk in revealing a user identity via location information and presents preliminary ideas about algorithms to prevent this to happen. },
added-at = {2010-10-18T22:10:59.000+0200},
author = {Bettini, C. and SeanWang, X. and Jajodia, S.},
biburl = {https://www.bibsonomy.org/bibtex/27c1581de4de711ad64e68e94fa9f075d/leyli},
booktitle = {Proceedings of 2nd VLDB Workshop on Secure Data Management (SDM)},
description = {KDubiq Blueprint},
interhash = {eb09f46930424fd4a20cf6d5444a29a2},
intrahash = {7c1581de4de711ad64e68e94fa9f075d},
keywords = {modap},
pages = {185-199},
publisher = {springer},
series = {Lecture Notes in Computer Science},
timestamp = {2010-10-18T22:10:59.000+0200},
title = {Protecting Privacy Against Location-Based Personal Identification},
url = {http://www.springerlink.com/content/f848008516886231/},
volume = {3674/2005},
year = 2005
}