A psychology-inspired trust model for emergency message transmission on the Internet of Vehicles (IoV)

Abstract

The future transportation systems demand an intelligent traffic system that can be achieved by connecting the vehicles to the Internet of Things (IoT) which in turn forms an Internet of Vehicles (IoV) network. The capabilities of the IoV network need to be leveraged to intelligently deal with the current traffic situations. As there are many vehicles connected in the network, it is essential to monitor, track, manage, and communicate the connected device fleet in the IoV network. During accidents and other emergency situations, accurate and timely information needs to be communicated within the network. In this context, it is a dire need to establish trust among the vehicles because of the consequence of dealing with false information propagated by malicious vehicles. The main goal of this paper is to measure the trust level of the vehicle sending an event-related message by evaluating its behavioral attributes. In this paper, a psychology-inspired fuzzy trust model is proposed on the basis of a human psychological theory called the Theory of Planned Behavior (TPB). We have also surveyed different trust models and compared them with our proposed approach. Finally, the experiments demonstrate the accurate performance of our trust model in several conditions.