Trust Level Computation Model for IoT enabled Patient Monitoring Service using Trust Properties
Abstract
Internet of things is an idea that empowers objects to sense and accumulate the essential data of the real world and give the knowledge mentioned above through the internet, which can be processed and employed for multiple purposes. Internet of Things (IoT) technology gives a good and structured strategy to manage service deliverance characters of healthcare in terms of mobile health and indirect victim monitoring. The trust concept plays an essential role in IoT that supports individuals and assistance to surmount the perception of possibility and hazards before obtaining a conclusion. The value of trust can be used to detect malicious, selfish, faulty and trustiness of nodes in the IoT network. This paper considers a patient monitoring service and proposes a trust level computation model based on trust properties. To estimate the credence value of individual node inside the IoT network, this paper proposes a trust evaluation algorithm for finding node trustworthy. This algorithm uses the mathematical model to compute numeric trust value for each node based on the success, completeness, data quality and reward rate of sensed information. The simulation experiments are conducted to evaluate the performance of proposed trust level computation model. The simulation result indicates that the proposed trust computation model is efficient.