SBA-GT: A Secure Bandwidth Allocation Scheme with Game Theory for UAV-Assisted VANET Scenarios.

Unmanned Aerial Vehicles (UAVs) are widely utilized for wireless communication services, promoting the emergence of promising UAV-assisted vehicle networks. However, due to the ever-increasing traffic data and diversified wireless service requirements of vehicles, there are also privacy issues caused by fraud, which challenges the effective allocation of limited security bandwidth for secure communications. In this article, to solve these two problems, we firstly propose a secure bandwidth allocation scheme based on the game theory on the Internet of Vehicles assisted by UAVs. Secondly, the proposed blockchain-based system introduces an emerging consensus mechanism that can significantly reduce the delay in exchanging information and protect data privacy. Furthermore, to allocate the limited safe bandwidth, based on the real-time feedback of each UAV, we design an optimal decision search algorithm based on gradient descent to achieve Stackelberg equilibrium. Finally, the simulation results show the superiority of improving the utility's security bandwidth allocation scheme.