Security Framework for Vehicular Edge Computing Network Based on Behavioral Game

Vehicular Edge Computing Network (VECN) is a new concept with the potential to support future vehicular applications by providing close-to-vehicles great computation services. This would especially enhance the performance of the delay sensitive safety applications designed for autonomous driving. However, VECN is a target of several attacks which aim at disrupting the offloading mechanism requested by legitimate vehicles. Thereby, in this paper, we propose a security scheme for VECN based on behavioral game to prevent the network attacks over the offloading operations and hence to improve the efficiency of the vehicular safety services. According to our simulation results, the proposed Secure Vehicular Edge Computing (S-VECN) has great advantages in optimizing the end-to-end delay of the offloading operations, while enhancing the detection and classification rates of malicious nodes.