Trust-Based Reliability Scheme for Secure Data Sharing With Internet of Vehicles Networks

Abstract

With the Internet of Things (IoT) increasingly integrated into vehicles, drivers and passengers can access information anywhere, anytime. As the number of connected vehicles increases, new requirements for vehicular networks arise, including securing, robust, and scalable communication between vehicles and pedestrians. It encompasses the communication between vehicles and infrastructure, as well as the communication between vehicles and pedestrians. A real-time exchange of road condition information can be achieved through this method. An IoV network rogue node detection scheme is presented here using a combined trust model. Using a trust-based security algorithm, vehicles are assessed for trustworthiness and rogue vehicles are identified. Communication and data reliability are used to calculate direct Trust while neighboring vehicles' cooperation is used to calculate recommendation trust. According to simulation results, the proposed model is highly accurate and maintains a low detection delay while protecting evaluation data privacy. Trust updates are more efficient using this model, and malicious vehicles are detected more quickly than traditional schemes.