Both Efficiency and Safety in V2V Broadcast Communications: A Communications Scheme Based on Multilevel-$\mu$TESLA and Evolutionary Game Theory

With the rapid development of smart internet-connected vehicles, the road traffic environment is becoming more and more complex and variable. Under these circumstances, V2V (Vehicle-to-Vehicle) needs a secure and efficient broadcast communication scheme to realize direct broadcast communication between vehicles while balancing security and efficiency. Therefore, we propose a secure and efficient broadcast communication scheme for V2V based on multilevel-$\mu$TESLA and utilizing evolutionary game theory, which uses lightweight operations and constructs an evolutionary game model under bounded rationality to reduce the overall computational effort of the scheme to enhance the ability to cope with complex security challenges. We analyze the proposed scheme for security and emulate it under different vehicle density and message rate scenarios. The results show that the scheme can withstand multiple security attacks, such as impersonation, modification, man-in-the-middle, replay, and DoS attacks. At the same time, it can quickly cope with message loss while satisfying V2V efficiency. In addition, compared with other related V2V communication schemes, the scheme shows favorable results in terms of communication, storage, and energy consumption, which improves the security and performance during message propagation.