A Trust Model with Dynamic Decision Making for Ubiquitous Environments

This paper presents a novel role-based architecture for the trust model in ubiquitous environments. The role is dynamically assigned to the service requester according to the context. If the service requester requests a service that is not permitted for his role, Naive Bayes classifier is used to make decision based on the service: provider´s own prior knowledge as well as the recommendations for the service requester. Our trust model can dynamically make decisions due to the changing context and each service provider´s own judging standard. It is also scalable since the role-based architecture used in our trust model is potential for reducing the complexity in large network. In addition, our trust model is suitable to make decision with limited information, which is usually the case in a real scenario