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- Publisher Website: 10.1007/11957454_23
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Conference Paper: Preserving user location privacy in mobile data management infrastructures
Title | Preserving user location privacy in mobile data management infrastructures |
---|---|
Authors | |
Keywords | Cellular network Data models Gas stations High quality Imprecise queries |
Issue Date | 2006 |
Publisher | Springer 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? |
Abstract | Location-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. |
Description | LNCS v. 4258 is the conference proceedings of PET 2006 Session 7: Traffic and Location Analysis |
Persistent Identifier | http://hdl.handle.net/10722/144831 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cheng, R | en_HK |
dc.contributor.author | Zhang, Y | en_HK |
dc.contributor.author | Bertino, E | en_HK |
dc.contributor.author | Prabhakar, S | en_HK |
dc.date.accessioned | 2012-02-09T00:54:31Z | - |
dc.date.available | 2012-02-09T00:54:31Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.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 | en_HK |
dc.identifier.issn | 0302-9743 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/144831 | - |
dc.description | LNCS v. 4258 is the conference proceedings of PET 2006 | - |
dc.description | Session 7: Traffic and Location Analysis | - |
dc.description.abstract | Location-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.language | eng | - |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_HK |
dc.relation.ispartof | Lecture Notes in Computer Science | en_HK |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Cellular network | - |
dc.subject | Data models | - |
dc.subject | Gas stations | - |
dc.subject | High quality | - |
dc.subject | Imprecise queries | - |
dc.title | Preserving user location privacy in mobile data management infrastructures | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Cheng, R:ckcheng@cs.hku.hk | en_HK |
dc.identifier.authority | Cheng, R=rp00074 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/11957454_23 | en_HK |
dc.identifier.scopus | eid_2-s2.0-66549090154 | en_HK |
dc.identifier.hkuros | 176480 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-66549090154&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 4258 LNCS | en_HK |
dc.identifier.spage | 393 | en_HK |
dc.identifier.epage | 412 | en_HK |
dc.publisher.place | Germany | en_HK |
dc.description.other | 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 | - |
dc.identifier.scopusauthorid | Cheng, R=7201955416 | en_HK |
dc.identifier.scopusauthorid | Zhang, Y=7601314438 | en_HK |
dc.identifier.scopusauthorid | Bertino, E=7102307605 | en_HK |
dc.identifier.scopusauthorid | Prabhakar, S=7101672592 | en_HK |
dc.identifier.issnl | 0302-9743 | - |