Abstract
Intelligent Transport Systems (ITS) represent a burgeoning and transformative concept aimed at reshaping the landscape of mobility both within and outside cities. The Internet of Vehicles (IoV) serves as a networked ecosystem that integrates infrastructure, pedestrians, fog, cloud, and vehicles to enhance the capabilities of ITS. While IoV holds tremendous promise for advancing transportation systems, its networked and data-centric nature raises numerous security concerns. Several solutions have recently been proposed to address these IoV-related challenges; however, many of them involve significant computational overhead and exhibit security flaws. Moreover, there is concern about malicious vehicles infiltrating the network and potentially gaining unauthorized access to services. To tackle these challenges, we present SEATS, a ground breaking solution. The system aims to ensure the secure exchange of information, authentication by both parties, and effective key management among vehicles, roadside units (RSU), and cloud servers. We conduct extensive security and privacy assessments on the proposed approach using the Real-or-Random (ROR) oracle model and Scyther tools, supplemented by an informal security study. The framework is simulated using the Objective Modular Network Testbed in C++ (OMNet++). To demonstrate the efficacy of our approach, we compare it to existing methods, evaluating computation and communication costs.
