Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6285
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dc.contributor.authorAbul, Osman-
dc.contributor.authorBitirgen, Ozan Berk-
dc.date.accessioned2021-09-11T15:35:38Z-
dc.date.available2021-09-11T15:35:38Z-
dc.date.issued2021en_US
dc.identifier.issn0219-1377-
dc.identifier.issn0219-3116-
dc.identifier.urihttps://doi.org/10.1007/s10115-021-01566-4-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6285-
dc.description.abstractThis work studies the location-privacy preserving location update in the context of data-centric people mobility applications. The mobility model involves an urban area annotated city network (ACN) over which the users move and record/report their locations at non-regular intervals. The ACN is modeled as a directed weighted graph. Since the data receiver (e.g., an LBS provider) is curious in our privacy model, the users share their locations after anonymization which requires k-member partitioning of the ACN. Our framework, in the offline stage, requires a prototype vertex selection for each of the partitions. To this end, we develop a heuristic to obtain more representative prototype vertices. The temporal dimension of the location anonymity is achieved by two notions of the anonymity models, called weak location k-anonymity (to provide snapshot location anonymity) and strong location k-anonymity (to provide historical location anonymity). The attack scenario models the belief of the attacker (the LBS provider) on the whereabouts of the users at each location update. In the online stage, our algorithms make anonymity violation tests at every location update request and selectively block the anonymity violating ones. The online stage algorithms providing weak/strong location k-anonymity are shown to run in constant time per location update. An extensive experimental evaluation, mainly addressing the issue of privacy/utility trade-off, on three real ACNs with a simulated mobility is presented.en_US
dc.description.sponsorshipTUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [118E712]en_US
dc.description.sponsorshipThis work has been supported by TUBITAK under the Grant Number 118E712.en_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofKnowledge And Information Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLocation privacyen_US
dc.subjectMobilityen_US
dc.subjectLocation-based servicesen_US
dc.subjectAnonymityen_US
dc.titleAnonymous Location Sharing in Urban Area Mobilityen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume63en_US
dc.identifier.issue7en_US
dc.identifier.startpage1849en_US
dc.identifier.endpage1871en_US
dc.identifier.wosWOS:000650808600001en_US
dc.identifier.scopus2-s2.0-85106215599en_US
dc.institutionauthorAbul, Osman-
dc.identifier.doi10.1007/s10115-021-01566-4-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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