Identification Of Trusted Iot Devices For Secure Delegation

In the era of ubiquitous computing, Internet of Things (IoT) devices have a remarkable impact on human lives. In addition to numerous services provided by IoT devices, there are some constraints and limitations in their service provision. For instance, due to their resource constraint nature, sometimes these devices have insufficient resources to perform assigned tasks. Therefore, a delegation mechanism is usually required to handle task requests assigned to devices with limited resources. However, at the same time, the data possessed by these devices can be sensitive, so a trust mechanism is needed to identify trusted devices for delegating data sensitive services. Ontologies provide a robust method to integrate models with their corresponding real-world scenarios. This paper proposes a model for the identification of trusted IoT devices for delegation, designed through ontologies to resolve the problems of incomplete task requests owned by resource-constrained IoT devices. The proposed ontology provides a unique view of domain knowledge from the operational knowledge of pervasive and ubiquitous systems, like IoT devices. The paper also proposes a semantic matching algorithm to rank highly favorable and trusted devices to handle resource and trust priorities. The proposed ontology is developed in protege editor and evaluated through a web query language. The experimental results based on simulation and parametric evaluations reflect that the proposed system performs better than existing approaches.