RpR: A Trust Computation Model for Social Internet of Things

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.