Intrusion detection game for ubiquitous security in vehicular networks: A signaling game based approach

Wireless communications between smart vehicles can make travel quicker and more secure in vehicular networks. However, hackers can perform malicious activities against the communication system, which may cause accidents. To overcome this issue and insure universal public safety on roads, motoring organization needs to reinforce the security of the embedded systems to shield them from different vindictive attacks. In this research work, we present an intrusion detection approach to recognize noxious nodes. When an accident occurs, it gets stored in the vehicles data. Be that as it may, because of the presence of malicious nodes, this data can be erased from the network. Concerning this matter, we have developed a numerical model based on both the coalition game and the signaling game to design an Intrusion Detection Game (IDG). On the one hand, this approach aims to model the interactions between malicious nodes and the Coalition Head which is equipped with an Intrusion Detection System (CH-IDS). On the other hand, it intends to seek the Bayesian Nash Equilibrium (BNE) for an efficient intrusion detection. The simulation results have shown the effectiveness of the proposed approach, thus, the CH-IDS agents are able to select their optimal strategies to detect malicious nodes.