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dc.contributor.authorAl-Hamadi, Hamiden
dc.contributor.authorChen, Ing-Rayen
dc.contributor.authorCho, Jin-Heeen
dc.date.accessioned2019-05-14T12:35:03Z
dc.date.available2019-05-14T12:35:03Z
dc.date.issued2019en
dc.identifier.urihttp://hdl.handle.net/10919/89505
dc.description.abstractIn this paper, the notion of a smart service community is proposed to address the grand challenge of a huge number of the Internet-of-Things (IoT) devices providing similar services in a smart city environment (e.g., parking, food, healthcare, transportation, and entertainment). We propose that a smart service community be built as a cloud utility accessible via a mobile application installed in user-owned IoT devices, such as smartphones. The cloud utility provides cloud-based interfaces, including registration, service satisfaction reporting, recommender credibility reporting, and service recommendation, with the goal of recommending the best service providers based on a user's specified service performance criteria. The trust-based service management techniques, utilizing the IoT-assisted technology, are developed to automatically measure service ratings and recommender credibility ratings, and compute one-to-one subjective trust scores to allow a user to select the best service providers among all. The feasibility of the proposed approach is demonstrated over contemporary service ranking systems using a smart food service community for which the major performance metric is the service wait time.en
dc.description.sponsorshipKuwait University [QS01/18]en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSmart service communityen
dc.subjecttrust managementen
dc.subjectcollusion attacken
dc.subjectsmart cityen
dc.subjectInternet-of-Things (IoT)en
dc.subjectservice managementen
dc.titleTrust Management of Smart Service Communitiesen
dc.typeArticle - Refereeden
dc.description.notesThis work was supported by the Kuwait University Research Grant QS01/18.en
dc.title.serialIEEE Accessen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2901023en
dc.identifier.volume7en
dc.type.dcmitypeTexten
dc.identifier.eissn2169-3536en


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International