A Classification of Trust Computation Models for Service-Oriented Internet of Things Systems

connect the physical world into cyberspace everywhere and everything via billions of smart objects and are expected to have a high economic impact. To date there is little work on trust computation in IoT environments for security enhancement, especially for dealing with misbehaving owners of IoT devices that provide services to other IoT devices in the system. In this paper we classify trust computation models to-date for IoT systems. Our approach is to classify existing trust computation models based on five design dimensions: trust composition, trust propagation, trust aggregation, trust update, and trust formation. We summarize advantages and drawbacks of each dimension’s options, and highlight the effectiveness of defense mechanisms against malicious attacks. We also summarize the most and least studied trust computation techniques in the literature and provide insight on the effectiveness of trust computation techniques as applying to IoT systems. Finally, we identify gaps in IoT trust computation research and suggest future research directions