Privacy in Geo-social Networking Systems

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atmire.migration.oldid5064
dc.contributor.advisorFong, Philip W. L.
dc.contributor.authorTarameshloo, Ebrahim
dc.contributor.committeememberCarpendale, Sheelagh
dc.contributor.committeememberSafavi-Naeini, Reyhaneh
dc.contributor.committeememberWang, Xin
dc.contributor.committeememberTripunitara, Mahesh
dc.date.accessioned2016-10-05T16:23:15Z
dc.date.available2016-10-05T16:23:15Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractWith the proliferation of the Internet and GPS enabled smartphones, Geo-Social Computing Systems (GSCS) have seen widespread adoption. Facebook, Twitter, Waze, Geofeedia, WeLink are among the many GSCS with various members and services. These systems rapidly gained traction for two types of target users, a) GSCS members (data contributors), and b) GSCS data consumers.Although GSCS deliver valuable services, they also generate a host of privacy challenges. Protecting members' identity and their location information is a notable challenge in GSCS. Close examination of nine real life GSCS applications enabled me to identify four major challenges that can lead to insufficient privacy protection for members of GSCS. Unregulated access, policy conformity, privacy in publishing GSCS data, and data utility in published data are the focus of the challenges. Contributions of this thesis can be categorized into two main perspectives within the identified challenges. First, privacy of members inside the geo-social computing systems and second, privacy of members when these systems publish members' data. In each identified privacy challenge, I proposed an approach to address the challenge, and developed my designed approaches to demonstrate a tangible solution for each challenge. The results of this research provide knowledge that can help other researchers to recognize and address more privacy concerns in the GSNSs environment. This knowledge includes insight into theory and practice of privacy within the context of access control models, policy enforcement in a federated environment, privacy attacks and countermeasures in published data, and analytic tools for privacy experts.en_US
dc.identifier.citationTarameshloo, E. (2016). Privacy in Geo-social Networking Systems (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27436en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27436
dc.identifier.urihttp://hdl.handle.net/11023/3408
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.subject.classificationPrivacyen_US
dc.subject.classificationSocial Networken_US
dc.subject.classificationVisualizationen_US
dc.subject.classificationAccess Controlen_US
dc.subject.classificationAnalyticsen_US
dc.subject.classificationLocation based social networken_US
dc.subject.classificationAnonymizationen_US
dc.titlePrivacy in Geo-social Networking Systems
dc.typedoctoral thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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