Lee, GM, Truong, NB, Lee, H and Askwith, RJ (2017) Toward a Trust Evaluation Mechanism for in the Social Internet of Things. Sensors, 17 (6). ISSN 1424-8220

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Abstract

In the blooming era of the Internet of Things (IoT), trust has been accepted as a vital factor for provisioning secure, reliable, seamless communications and services. However, a large number of challenges have been unsolved yet due to the ambiguity of the concept of trust as well as the variety of divergent trust models in different contexts. In this research, we augment the trust concept, the trust definition and provide a general conceptual model in the context of the Social IoT (SIoT) environment by breaking down all attributes influencing trust. Then, we propose a trust evaluation model called REK comprised of the triad Reputation, Experience and Knowledge trust indicators (TIs). The REK model covers multi-dimensional aspects of trust by incorporating heterogeneous information from direct observation (as Knowledge TI), personal experiences (as Experience TI) to global opinions (as Reputation TI). The associated evaluation models for the three TIs are also proposed and provisioned. We then come up with an aggregation mechanism for deriving trust values as the final outcome of the REK evaluation model. We believe this article offers better understandings on trust as well as provides several prospective approaches for the trust evaluation in the SIoT environment.

Item Type:	Article
Uncontrolled Keywords:	0301 Analytical Chemistry, 0906 Electrical And Electronic Engineering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	MDPI AG
Date Deposited:	08 Jun 2017 09:51
Last Modified:	04 Sep 2021 11:26
DOI or ID number:	10.3390/s17061346
URI:	https://researchonline.ljmu.ac.uk/id/eprint/6665

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