Cybersecurity Decision Making Mechanism for Defense Strategies in Vehicle Networks

With the development of intelligent transportation system, vehicle networks (VNs) have brought new security challenges due to their mobile and infrastructure-less nature. The existing security solutions lack the comprehensive cybersecurity model for vehicle networks. This paper proposes a combined attack and defense petri net (ADPN) model to describe cybersecurity states and processes of vehicle network. To evaluate security assessment and optimize defense strategies, an attack and defense decision making method for vehicle network (VN-ADDM) is proposed. The method utilizes stochastic games net to analyze and quantify security assessment properties, calculate attack and defense cost, and implement mixed strategy Nash equilibrium. The rationality of the proposed cybersecurity decision making method is well demonstrated by extensive analysis in a detailed case study.