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Conference Paper: Preserving user location privacy in mobile data management infrastructures

TitlePreserving user location privacy in mobile data management infrastructures
Authors
KeywordsCellular network
Data models
Gas stations
High quality
Imprecise queries
Issue Date2006
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 6th International Workshop on Privacy Enhancing Technologies (PET 2006), Cambridge, U.K., 28-30 June 2006. In Lecture Notes in Computer Science, 2006, v. 4258, p. 393-412 How to Cite?
AbstractLocation-based services, such as finding the nearest gas station, require users to supply their location information. However, a user's location can be tracked without her consent or knowledge. Lowering the spatial and temporal resolution of location data sent to the server has been proposed as a solution. Although this technique is effective in protecting privacy, it may be overkill and the quality of desired services can be severely affected. In this paper, we suggest a framework where uncertainty can be controlled to provide high quality and privacy-preserving services, and investigate how such a framework can be realized in the GPS and cellular network systems. Based on this framework, we suggest a data model to augment uncertainty to location data, and propose imprecise queries that hide the location of the query issuer and yields probabilistic results. We investigate the evaluation and quality aspects for a range query. We also provide novel methods to protect our solutions against trajectory-tracing. Experiments are conducted to examine the effectiveness of our approaches. © 2006 Springer-Verlag.
DescriptionLNCS v. 4258 is the conference proceedings of PET 2006
Session 7: Traffic and Location Analysis
Persistent Identifierhttp://hdl.handle.net/10722/144831
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorCheng, Ren_HK
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorBertino, Een_HK
dc.contributor.authorPrabhakar, Sen_HK
dc.date.accessioned2012-02-09T00:54:31Z-
dc.date.available2012-02-09T00:54:31Z-
dc.date.issued2006en_HK
dc.identifier.citationThe 6th International Workshop on Privacy Enhancing Technologies (PET 2006), Cambridge, U.K., 28-30 June 2006. In Lecture Notes in Computer Science, 2006, v. 4258, p. 393-412en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/144831-
dc.descriptionLNCS v. 4258 is the conference proceedings of PET 2006-
dc.descriptionSession 7: Traffic and Location Analysis-
dc.description.abstractLocation-based services, such as finding the nearest gas station, require users to supply their location information. However, a user's location can be tracked without her consent or knowledge. Lowering the spatial and temporal resolution of location data sent to the server has been proposed as a solution. Although this technique is effective in protecting privacy, it may be overkill and the quality of desired services can be severely affected. In this paper, we suggest a framework where uncertainty can be controlled to provide high quality and privacy-preserving services, and investigate how such a framework can be realized in the GPS and cellular network systems. Based on this framework, we suggest a data model to augment uncertainty to location data, and propose imprecise queries that hide the location of the query issuer and yields probabilistic results. We investigate the evaluation and quality aspects for a range query. We also provide novel methods to protect our solutions against trajectory-tracing. Experiments are conducted to examine the effectiveness of our approaches. © 2006 Springer-Verlag.en_HK
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectCellular network-
dc.subjectData models-
dc.subjectGas stations-
dc.subjectHigh quality-
dc.subjectImprecise queries-
dc.titlePreserving user location privacy in mobile data management infrastructuresen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailCheng, R:ckcheng@cs.hku.hken_HK
dc.identifier.authorityCheng, R=rp00074en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/11957454_23en_HK
dc.identifier.scopuseid_2-s2.0-66549090154en_HK
dc.identifier.hkuros176480-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-66549090154&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4258 LNCSen_HK
dc.identifier.spage393en_HK
dc.identifier.epage412en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe 6th International Workshop on Privacy Enhancing Technologies (PET 2006), Cambridge, U.K., 28-30 June 2006. In Lecture Notes in Computer Science, 2006, v. 4258, p. 393-412-
dc.identifier.scopusauthoridCheng, R=7201955416en_HK
dc.identifier.scopusauthoridZhang, Y=7601314438en_HK
dc.identifier.scopusauthoridBertino, E=7102307605en_HK
dc.identifier.scopusauthoridPrabhakar, S=7101672592en_HK

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