In this work, we propose a privacy model for online user requests on trajectory data in location based services by utilizing an underlying network of user movement. The privacy model has been implemented as a framework that (i) reconstructs the user movement from a series of independent location updates, (ii) identifies routes where user privacy is at risk, and (iii) transforms user requests into anonymous equivalents. The framework is implemented on top of a spatial database engine that offers a significant portion of the necessary functionality, while provides for its effective deployment.
Description
A network aware privacy model for online requests in trajectory data
%0 Journal Article
%1 1514518
%A Gkoulalas-Divanis, Aris
%A Verykios, Vassilios S.
%A Bozanis, Panayiotis
%D 2009
%E Chen, P.P.
%I Elsevier Science Publishers B. V.
%J Data & Knowledge Engineering
%K imported
%N 4
%P 431-452
%R http://dx.doi.org/10.1016/j.datak.2008.11.003
%T A network aware privacy model for online requests in trajectory data
%U http://portal.acm.org/citation.cfm?id=1514518
%V 68
%X In this work, we propose a privacy model for online user requests on trajectory data in location based services by utilizing an underlying network of user movement. The privacy model has been implemented as a framework that (i) reconstructs the user movement from a series of independent location updates, (ii) identifies routes where user privacy is at risk, and (iii) transforms user requests into anonymous equivalents. The framework is implemented on top of a spatial database engine that offers a significant portion of the necessary functionality, while provides for its effective deployment.
@article{1514518,
abstract = {In this work, we propose a privacy model for online user requests on trajectory data in location based services by utilizing an underlying network of user movement. The privacy model has been implemented as a framework that (i) reconstructs the user movement from a series of independent location updates, (ii) identifies routes where user privacy is at risk, and (iii) transforms user requests into anonymous equivalents. The framework is implemented on top of a spatial database engine that offers a significant portion of the necessary functionality, while provides for its effective deployment.},
added-at = {2009-11-02T12:53:26.000+0100},
author = {Gkoulalas-Divanis, Aris and Verykios, Vassilios S. and Bozanis, Panayiotis},
biburl = {https://www.bibsonomy.org/bibtex/2187d600133c2e919ef2f5923bc2b2301/modap},
description = {A network aware privacy model for online requests in trajectory data},
doi = {http://dx.doi.org/10.1016/j.datak.2008.11.003},
editor = {Chen, P.P.},
interhash = {db3fa01554722a57f2e542aacf6732bd},
intrahash = {187d600133c2e919ef2f5923bc2b2301},
issn = {0169-023X},
journal = {Data & Knowledge Engineering},
keywords = {imported},
month = {April},
number = 4,
pages = {431-452},
publisher = {Elsevier Science Publishers B. V.},
timestamp = {2009-11-02T12:53:26.000+0100},
title = {A network aware privacy model for online requests in trajectory data},
url = {http://portal.acm.org/citation.cfm?id=1514518},
volume = 68,
year = 2009
}