Lee, GM (2017) RpR: A Trust Computation Model for Social Internet of Things. In: 2016 Intl IEEE Conferences . (2016 IEEE Smart World Congress, 18 July 2016 - 21 July 2016, Toulouse, France).

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Abstract

Social Internet of Things (SIoT) is an evolutionary idea which combines traditional IoT models with social network paradigms. “Objects” in SIoT formulate social relationships with other “trusted objects” according to the relationships of their owners which deliver trustworthy services on request. From our trust platform concept to identify vital trust metrics and attributes, we propose a Recommendations plus Reputations based Trust Computational Model (RpR) that enables objects in SIoT to build associations in a trustworthy manner. A numerical model is developed to estimate trust of each object based on Recommendation and Reputation parameters. Next, both estimates are merged together and a robust algorithm is proposed. Finally, we demonstrate and validate the usefulness of RpR over prior approaches through simulations and analysis. The aim of our approach is to facilitate accurate modeling of trustworthiness in distributed SIoT environments.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Social Networks; SIoT; Trust Computation; Trust Model; Konwledge; Reputation; Recommendation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
Date Deposited:	23 May 2016 11:19
Last Modified:	13 Apr 2022 15:14
URI:	https://researchonline.ljmu.ac.uk/id/eprint/3658

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