Privacy through Uncertainty in Location-Based Services

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dc.authoridClifton, Chris/0000-0001-7274-1471|Kuijpers, Bart/0000-0001-5774-0948
dc.authorwosidClifton, Chris/JFQ-7226-2023
dc.authorwosidSavas, Erkay/AAY-8766-2020
dc.contributor.authorMerrill, Shawn
dc.contributor.authorBasalp, Nilguen
dc.contributor.authorBiskup, Joachim
dc.contributor.authorBuchmann, Erik
dc.contributor.authorClifton, Chris
dc.contributor.authorKuijpers, Bart
dc.contributor.authorOthman, Walied
dc.date.accessioned2024-07-18T20:47:26Z
dc.date.available2024-07-18T20:47:26Z
dc.date.issued2013
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.descriptionIEEE 14th International Conference on Mobile Data Management (MDM) -- JUN 03-06, 2013 -- Univ Milan, Milan, ITALYen_US
dc.description.abstractLocation-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely? This paper explores the possibility of introducing uncertainty into location information when using an LBS, so as to reduce privacy risk while maintaining good quality of service. This paper also explores the current uses of uncertainty information in a selection of mobile applications.en_US
dc.description.sponsorshipIEEE,IEEE Comp Soc,IBM Res,STMicroelectronics,Telecom Italia,Univ Milan, Dept Comp Sci,Googleen_US
dc.description.sponsorshipMODAP (Mobility, Data Mining, and Privacy); EU; FET; Deutsche Forschungsgemeinschaft (German Research Council) [SFB 876/A5]; NPRP [09-256-1-046]; Qatar National Research Fund; National Science Foundation [1012208]; Division Of Computer and Network Systems; Direct For Computer & Info Scie & Enginr [1012208] Funding Source: National Science Foundationen_US
dc.description.sponsorshipNilgun Basalp, Bart Kuijpers, and Erkay Savas were supported by the MODAP (Mobility, Data Mining, and Privacy) project funded by EU, FP7, FET OPEN (www.modap.org).; Work of Joachim Biskup has been supported by the Deutsche Forschungsgemeinschaft (German Research Council) under grant SFB 876/A5 within the framework of the Collaborative Research Center Providing Information by ResourceConstrained Data Analysis.; Work of Chris Clifton supported by the NPRP grant 09-256-1-046 from the Qatar National Research Fund.; Shawn Merrill supported by the National Science Foundation under Grant No. 1012208.en_US
dc.identifier.doi10.1109/MDM.2013.71
dc.identifier.endpage72en_US
dc.identifier.isbn978-1-4673-6068-5
dc.identifier.scopus2-s2.0-84883516103en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage67en_US
dc.identifier.urihttps://doi.org/10.1109/MDM.2013.71
dc.identifier.urihttps://hdl.handle.net/11411/7781
dc.identifier.wosWOS:000333752300016en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEE Computer Socen_US
dc.relation.ispartof2013 Ieee 14th International Conference on Mobile Data Management (Mdm 2013), Vol 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titlePrivacy through Uncertainty in Location-Based Servicesen_US
dc.typeConference Objecten_US

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