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A network aware privacy model for online requests in trajectory data
dc.creator | Gkoulalas-Divanis, A. | en |
dc.creator | Verykios, V. S. | en |
dc.creator | Bozanis, P. | en |
dc.date.accessioned | 2015-11-23T10:28:30Z | |
dc.date.available | 2015-11-23T10:28:30Z | |
dc.date.issued | 2009 | |
dc.identifier | 10.1016/j.datak.2008.11.003 | |
dc.identifier.issn | 0169-023X | |
dc.identifier.uri | http://hdl.handle.net/11615/28007 | |
dc.description.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. (C) 2008 Elsevier B.V. All rights reserved. | en |
dc.source | Data & Knowledge Engineering | en |
dc.source.uri | <Go to ISI>://WOS:000264959100003 | |
dc.subject | Security & privacy | en |
dc.subject | Knowledge discovery | en |
dc.subject | Trajectory K-anonymity | en |
dc.subject | Spatial | en |
dc.subject | DBMS | en |
dc.subject | Indexing | en |
dc.subject | MOVING-OBJECTS DATABASES | en |
dc.subject | PROTECTING PRIVACY | en |
dc.subject | K-ANONYMITY | en |
dc.subject | UNCERTAINTY | en |
dc.subject | Computer Science, Artificial Intelligence | en |
dc.subject | Computer Science, Information | en |
dc.subject | Systems | en |
dc.title | A network aware privacy model for online requests in trajectory data | en |
dc.type | journalArticle | en |
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