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dc.contributor.authorBisdikian, C.
dc.contributor.authorGibson, C.
dc.contributor.authorChakraborty, S.
dc.contributor.authorSrivastava, M. B.
dc.contributor.authorŞensoy, Murat
dc.contributor.authorNorman, T. J.
dc.date.accessioned2014-12-21T14:33:43Z
dc.date.available2014-12-21T14:33:43Z
dc.date.issued2014-04
dc.identifier.issn1873-1589
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1574119213001120
dc.identifier.urihttp://hdl.handle.net/10679/759
dc.description.abstractThe emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to be used to infer about the state of the world and decide actions in response. In these highly fluid operational environments, involving information providers and consumers of various degrees of trust and intentions, information transformation, such as obfuscation, is used to manage the inferences that could be made to protect providers from misuses of the information they share, while still providing benefits to their information consumers. In this paper, we develop the initial principles for relating to inference management and the role that trust and obfuscation plays in it within the context of this emerging breed of applications. We start by extending the definitions of trust and obfuscation into this emerging application space. We, then, highlight their role as we move from the tightly-coupled to loosely-coupled sensory-inference systems and describe how quality, value and risk of information relate in collaborative and adversarial systems. Next, we discuss quality distortion illustrated through a human activity recognition sensory system. We then present a system architecture to support an inference firewall capability in a publish/subscribe system for sensory information and conclude with a discussion and closing remarks.en_US
dc.description.sponsorshipUS Army Research Laboratory ; UK Ministry of Defence ; TÜBİTAK
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/113E238en_US
dc.relation.ispartofPervasive and Mobile Computing
dc.rightsrestrictedAccess
dc.titleInference management, trust and obfuscation principles for quality of information in emerging pervasive environmentsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.volume11
dc.identifier.startpage168
dc.identifier.endpage187
dc.identifier.wosWOS:000333813800012
dc.identifier.doi10.1016/j.pmcj.2013.08.003
dc.subject.keywordsQuality of informationen_US
dc.subject.keywordsValue of informationen_US
dc.subject.keywordsRisk of informationen_US
dc.subject.keywordsQoIen_US
dc.subject.keywordsVoIen_US
dc.subject.keywordsRoIen_US
dc.subject.keywordsObfuscationen_US
dc.subject.keywordsInference managementen_US
dc.identifier.scopusSCOPUS:2-s2.0-84897112043
dc.contributor.authorMale1


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