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Sensors 2017, 17(6), 1346; doi:10.3390/s17061346

Toward a Trust Evaluation Mechanism in the Social Internet of Things

1
Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, UK
2
Media Research Division, Broadcasting & Media Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea
*
Author to whom correspondence should be addressed.
Received: 31 March 2017 / Revised: 1 June 2017 / Accepted: 6 June 2017 / Published: 9 June 2017
(This article belongs to the Section Sensor Networks)
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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 still remain unsolved 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 of trust indicators (TIs) Reputation, Experience and Knowledge. 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. View Full-Text
Keywords: trust; trust concept; REK trust evaluation model; Social Internet of Things; knowledge; experience; reputation trust; trust concept; REK trust evaluation model; Social Internet of Things; knowledge; experience; reputation
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MDPI and ACS Style

Truong, N.B.; Lee, H.; Askwith, B.; Lee, G.M. Toward a Trust Evaluation Mechanism in the Social Internet of Things. Sensors 2017, 17, 1346.

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