Trust Management as a Service for RFID Based Applications in Edge Enabled Cloud

The incremental development of the Internet of Things (IoT) technologies and the rapid popularization of IoT based applications has promoted the rapid integration of edge computing and cloud computing into an innovation service paradigm, edge cloud service (ECS). As one of the most important technologies in IoT scenarios, radio frequency identification (RFID) has been widely used for object identification and tracking. Since RFID devices with limited resources are unable to process large amounts of data, it tends to employ ECS to address the issues of insufficient computing and storage resources. However, due to the diversity, uncertainty and dynamic of quality of service (QoS) in edge enabled cloud context, it brings well-known trust concern and has become one of the most challenging issues for RFID based application to adopt ECS. To this end, a novel trust management framework for RFID based application in edge enabled cloud context is proposed. Such a framework can facilitate RFID application developers to evaluate and choose a trustworthy ECS based on their specific QoS requirements. In addition, a trust level evaluation model is proposed, which can effectively evaluates the trust level of various ECSs based on dynamic QoS. The experimental result of a case study using a real-world dataset shows that the proposed framework can effectively evaluate the trust level of various ECSs with multiple and dynamic QoS attributes to improve the availability of RFID applications.