Privacy control in smart phones using semantically rich reasoning and context modeling

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dc.contributor.authorGhosh, Dibyajyoti
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.contributor.authorJagtap, Pramod
dc.date.accessioned2018-11-14T17:43:56Z
dc.date.available2018-11-14T17:43:56Z
dc.date.issued2012-05-24
dc.description2012 IEEE Symposium on Security and Privacy Workshops, 24-25 May 2012, San Francisco, CA, USA
dc.description.abstractWe present our ongoing work on user data and contextual privacy preservation in mobile devices through semantic reasoning. Recent advances in context modeling, tracking and collaborative localization have led to the emergence of a new class of smartphone applications that can access and share embedded sensor data. Unfortunately, this also means significant amount of user context information is now accessible to applications and potentially others, creating serious privacy and security concerns. Mobile OS frameworks like Android lack mechanisms for dynamic privacy control. We show how data flow among applications can be successfully filtered at a much more granular level using semantic web driven technologies that model device location, surroundings, application roles as well as context-dependent information sharing policies.en_US
dc.description.sponsorshipThis research was partially supported by the National Science Foundation (award 0910838) and the Air Force Office of Scientific Research (grant FA550-08-0265).en_US
dc.description.urihttps://ieeexplore.ieee.org/document/6227688en_US
dc.format.extent4 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M2833N28X
dc.identifier.citationDibyajyoti Ghosh, Anupam Joshi, Tim Finin, and Pramod Jagtap, Privacy control in smart phones using semantically rich reasoning and context modeling, Proceedings of the IEEE Workshop on Semantic Computing and Security, 2012, DOI: 10.1109/SPW.2012.27en_US
dc.identifier.urihttps://doi.org/10.1109/SPW.2012.27
dc.identifier.urihttp://hdl.handle.net/11603/11979
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rights© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectcontext awarenessen_US
dc.subjectmobileen_US
dc.subjectandroiden_US
dc.subjectsemantic weben_US
dc.subjectJenaen_US
dc.subjectdata privacyen_US
dc.subjectinference mechanismsen_US
dc.subjectmobile computingen_US
dc.subjectoperating systemsen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titlePrivacy control in smart phones using semantically rich reasoning and context modelingen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-8641-3193
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

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