Adaptive Trust: Usage-Based Trust in Crowdsourced IoT Services

We introduce the notion of Adaptive Trust in crowdsourced IoT services; a usage-based trust that represents a service's trustworthiness based on consumers' uses. A novel four-stage framework is proposed to assess the dynamic service trust by leveraging how the service is being used. The first stage uses an algorithm to predict different trust factors that affect the overall trustworthiness of an IoT service. Trust factors are fed to the second stage to build a service-to-factor model that predicts the trustworthiness of a service at each given trust factor. A usage-to-factor model is built at the third stage, which detects the importance of each factor for a specific usage scenario. The last stage utilizes the two models to compute a trust value specifically tailored for a particular usage. Several experiments have been conducted using a real dataset to ensure the efficiency of the proposed approach.