ReTrust: reliability and recommendation trust-based scheme for secure data sharing among internet of vehicles (IoV)

The Internet of Vehicles (IoV) uses wireless communication for establishing a distributed, dynamic, and temporary network among the vehicles on the road. Due to their dynamic topology, distributed structure, and open nature, vehicular communication networks (VCN) are vulnerable to numerous security vulnerabilities. Moreover, the limited transmission range of vehicles and the dynamic network topology makes data transmission arduous and require a special routing mechanism to handle these challenges in real-time. This work aims to utilize reliable intermediate relay vehicles to securely forward messages to the appropriate recipients in vehicular communication networks. A trust-based security approach has been fascinating in a vehicular communication network to identify rogue vehicles and establish a reliable communication channel among the vehicles. This paper presents a new reliability and recommendations (ReTrust) based scheme using a combined trust model to detect rogue nodes in the IoV network. A convenient combined trust-based security algorithm has been proposed to assess vehicles' trustworthiness and identify the rogue vehicles in the network based on the estimated trust value. Moreover, Direct trust has been calculated based on multiple factors, including communication and data reliability. In addition, the recommendation trust has been assessed using the cooperation of neighbouring vehicles. The proposed method uses the similarity measure and correlation coefficient to classify the fabricated recommendation values in the network. Extensive simulation tests were conducted using the network simulator NS-2 and VANET-MobiSim to evaluate the suggested method's performance. The effectiveness of the proposed scheme has been evaluated using different quality of service parameters, and the results reveal that the ReTrust performs admirably. The simulation outcomes validate that the ReTrust scheme has a high detection rate (> 90%) and a low false-positive rate (< 5%). This mechanism could be useful for creating a trusted vehicular network and providing secure vehicle communication for safety-related applications.