A Game Theory Based Collaborative Security Detection Method for Internet of Things Systems

A collaborative security detection method is investigated for the Internet of Things (IoT) systems. Consensus protocol is utilized to implement the information sharing and fusion in a collaborative manner. A game theoretical analysis framework is developed for the collaborative security detection by considering the confrontation between the defender and the attacker. The objective is to achieve the maximum security protection for the entire IoT systems. The existence and uniqueness of the Nash equilibrium of game model with complete consensus are analyzed. Then an iteration learning based calculation method is presented to determine the Nash equilibrium. Quantitative analysis is provided for the relationship between the Nash equilibriums of the game models in the cases of complete and incomplete consensus with infinite and finite number of iterations. Simulation results by considering DDoS attack are also provided to verify our theoretical results.