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Privacy in pervasive environments: next generation labeling protocols

dc.contributor.authorAckerman, Mark S.en_US
dc.date.accessioned2006-09-11T17:09:13Z
dc.date.available2006-09-11T17:09:13Z
dc.date.issued2004-11en_US
dc.identifier.citationAckerman, Mark S.; (2004). "Privacy in pervasive environments: next generation labeling protocols." Personal and Ubiquitous Computing 8(6): 430-439. <http://hdl.handle.net/2027.42/45919>en_US
dc.identifier.issn1617-4909en_US
dc.identifier.issn1617-4917en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45919
dc.description.abstractIn pervasive environments, privacy is likely to be a major issue for users, and users will want to be notified of potential data capture. To provide notice to users, this paper argues for what it calls labeling protocols, technical mechanisms through which users can be informed of data requests and their consequences. Recent experiences with the Platform for Privacy Preferences Project (P3P), an attempt to provide privacy mechanisms for the Web, suggest important lessons for the design of a next generation labeling protocol that will be usable and useful in pervasive environments. This paper examines the P3P lessons and open issues with an eye to pervasive requirements.en_US
dc.format.extent221639 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Springer-Verlag London Limiteden_US
dc.subject.otherPervasive Environmentsen_US
dc.subject.otherPlatform for Privacy Preferencesen_US
dc.subject.otherComputerScienceen_US
dc.subject.otherLabeling Protocolsen_US
dc.subject.otherPrivacyen_US
dc.subject.otherUbiquitous Computingen_US
dc.subject.otherP3Pen_US
dc.titlePrivacy in pervasive environments: next generation labeling protocolsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science and School of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45919/1/779_2004_Article_305.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00779-004-0305-8en_US
dc.identifier.sourcePersonal and Ubiquitous Computingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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