IoT trust estimation in an unknown place using the opinions of i-sharing friends

Abstract

Advances of IoT have enabled users to use intelligent services from surrounding smart objects. As the needs of preventing the misusage of personal information increases, the estimation of the trustworthiness of interaction counterparts before interaction is important to prevent potential dangers. Existing trust estimation solutions are based on Social IoT, which is hard to adopt in reality. Another approach uses indirect interaction history to estimate trustworthiness, which is not efficient in an unknown place. In this paper, we propose a trust estimation scheme that allows a user to evaluate the trust value of target device in an unknown place, by leveraging I-sharing friend's subjective experience. Evaluation results show that the proposed scheme decreases RMSE up to 2.5 times compared with the existing approach.