A Semantic Context-Aware Privacy Model for FaceBlock

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dc.contributor.authorPappachan, Primal
dc.contributor.authorYus, Roberto
dc.contributor.authorDas, Prajit Kumar
dc.contributor.authorFinin, Tim
dc.contributor.authorMena, Eduardo
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-02T13:34:31Z
dc.date.available2018-11-02T13:34:31Z
dc.date.issued2014-10-19
dc.descriptionSecond International Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2014), Riva del Garda (Italy)en_US
dc.description.abstractWearable computing devices like Google Glass are at the forefront of technological evolution in smart devices. The ubiquitous and oblivious nature of photography using these devices has made people concerned about their privacy in private and public settings. The Face-Block (http://face-block.me/) project protects the privacy of people around Glass users by making pictures taken by the latter, Privacy-Aware. Through sharing of privacy policies, users can choose whether or not to be included in pictures. However, the current privacy model of FaceBlock only permits simple constraints such as allow versus disallow pictures. In this paper, we present an extended context-aware privacy model represented using OWL ontologies and SWRL rules. We also describe use cases of how this model can help FaceBlock to generate Privacy-Aware Pictures depending on context and privacy needs of the user.en_US
dc.description.sponsorshipThis research work has been supported by the NSF grants 0910838 and 1228673, CICYT project TIN2010-21387-C02-02, and DGA FSE.en_US
dc.description.urihttps://robertoyus.com/publication/privon2-2014/en_US
dc.format.extent9 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M2HH6C948
dc.identifier.citationPappachan, Primal, Roberto Yus, Prajit Kumar Das, Tim Finin, Eduardo Mena, and Anupam Joshi. “A Semantic Context-Aware Privacy Model for FaceBlock.” Second International Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2014), Riva Del Garda (Italy), October 19, 2014. http://ceur-ws.org/Vol-1316/privon2014_paper6.pdf.
dc.identifier.urihttp://hdl.handle.net/11603/11832
dc.language.isoen_USen_US
dc.publisherCEUR-WS
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.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectPrivacyen_US
dc.subjectGoogle Glassen_US
dc.subjectSemantic Weben_US
dc.subjectcontext-awareen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleA Semantic Context-Aware Privacy Model for FaceBlocken_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-9475-8132
dcterms.creatorhttps://orcid.org/0000-0002-9311-954X
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792
dcterms.creatorhttps://orcid.org/0000-0002-8641-3193

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