A Three-Tier Architecture for Securing IoV Communications Using Vehicular Dependencies

Internet of Vehicles (IoV) incorporates environmental entities and networks for information exchange and service provisioning in road-side communications. Smart vehicle-assisted communications are exposed to higher risks as they communicate using wireless medium. Denial of service (DoS) types of attack gain control over the wireless medium to isolate resources and services to the end users. Reputation-based vehicle-assisted communication (RVAC) proposed in this paper mitigates the DoS attack by using global and local dependences of the vehicles. Global and local dependences are modeled by observing the transmission attributes associated with the vehicles. To ease adversary mitigation, the process of assessing vehicle attributes and decision-making is distributed across three tiers, categorized in the IoV architecture. The central authority (CA) works in a co-operative manner with the road-side units (RSUs) to ensure only legitimate vehicles participated in the communication process. The efficiency of the proposed RVAC is assessed and verified through the extensive simulation results. The RVAC performance is evaluated based upon detection time, communication loss, delay, false positive factor, and vehicle selection. The impact of vehicle density and adversary ratio is considered in the performance evaluation. The experimental results illustrate that the proposed RVAC retains a highly reputed vehicle selection rate with fewer false positives, less communication loss, and shorter communication delay and detection time.