Dynamic Trust Management Model for the Internet of Things and Smart Sensors: The Challenges and Applications

Abstract

Background: Internet of Things (IoT) is an important technology that promises a smart human being life, by allowing a communications between objects, machines and every things together with peoples. Trust is an important parameter which is closely related IOT with respect to sending a message source to destination. Objective: In this model the Internet of Thing (IOT) system to pledge with misbehaving nodes whose status are non deterministic. This paper also presents an overview of trust management model in IoT. The accuracy, robustness, and lightness of the proposed model is approved through a wide arrangement of recreations. Methods: In order to achieve the desired objective, the following four contributions has been proposed to improve the trust over internet of thing (IoT):1) End-to-end packet forwarding ratio (EPFR) 2) AEC 3) Packet Delivery Ratio 4) Detection Probability. Results: In this paper we calculate the performance of TM-IoT in term of End-to-End Packet Forwarding Ratio (EPFR) 2) AEC 3) Packet Delivery Ratio 4) Detection Probability. The exploratory result analysis shows the efficiency of proposed model as compared to existing work. Conclusion: The proposed model TM-IoT show the better exploratory result as compared to existing work in terms of End-to-End Packet Forwarding Ratio (EPFR) , AEC, Packet Delivery Ratio, Detection Probability.