Authors: Konstantinos Kotis; Iraklis Athanasakis; George A. Vouros
Addresses: Department of Digital Systems, University of Piraeus, Karaoli & Dimitriou 80, Piraeus, Greece ' School of Science and Technology, Hellenic Open University, Parodos Aristotelous 18, 26-335, Patra, Greece ' Department of Digital Systems, University of Piraeus, Karaoli & Dimitriou 80, Piraeus, Greece
Abstract: Semantics for the IoT domain have been already introduced for the (semi-)automated deployment of heterogeneous entities. Depending on the level of interoperability and the ability of dynamic expansion of the IoT environment, an application may have to 'decide' (and then select) which devices in that environment are trustworthy for ensuring and securing effective deployment. In the open and distributed IoT, where a large number of heterogeneous entities will be registered, the need to ensure and secure their selection and deployment tasks is highly important. In this paper, an effective modelling approach towards supporting the selection and deployment of IoT entities is presented, based on the notion of trust semantics. Using fuzzy ontologies as an enabler of trust semantics in IoT, this work demonstrates that such semantics, when seamlessly integrated in IoT ontologies, serve as a secure selection key to an IoT application (or service) for selecting, among the available entities, the one(s) that the application should trust for its effective deployment in the specific environment/context.
Keywords: IoT trust; semantic interoperability; trust semantics; fuzzy semantics; IoT entities deployment; trust ontology; fuzzy ontology; trust interoperability; IoT entities matchmaking; IoT entities selection.
International Journal of Internet of Things and Cyber-Assurance, 2018 Vol.1 No.1, pp.3 - 21
Received: 01 Mar 2016
Accepted: 14 Aug 2016
Published online: 22 Feb 2018 *