Selection Of Network Defense Strategies Based On Dynamic Game Model

With the rapid development and extensive application of network information technologies,the network environment has been developed from a single Internet into cyberspace.The cyberspace security situations are increasingly rigorous because of the various types of security threats and conflicts in the cyberspace.Especially,the network environment faces serious threats because of the attack-defense confrontation in cyberspace.Then,enhancing network defense is the fundamental point to ensure network security in view of network attacks.Furthermore,the scientific and effective network defense is under the consideration of network attack and defense.Therefore,this paper researches the approaches of selecting strategies of network defense based on the dynamic game model from the perspective of network attack and defense.The main works are summarized as follows:1.In view of the network attack and defense,the paper analyzes elements of selecting the network defense strategies based on the Attack-Defense game.On this basis,the framework of selecting network defense strategies based on the dynamic game model is designed.Besides,the network Attack-Defense scenes are divided to the discrete multi-stage and continuous real-time by considering the actual situation of network attack and defense.The framework deals with the process of selecting network defense strategies based on the game theory,which can support and guide the network defense decisions making in different scenarios.2.In view of the discrete multi-stage network attack and defense,the signaling game theory is applied to construct the multi-stage Attack-Defense signaling game model,based on the analysis of the characteristics of network attack and defense.A signal attenuation factor of the game is introduced through the reasonable analysis of the evolution law of the signal in the multi-stage game process,then to calculate the equilibrium analysis of the discrete multi-stage Attack-Defense game.The algorithm,proposed to select the network defense strategies based on the multi-stage Attack-Defense signal game model,solves the problem of network defense decision-making in the process of discrete multi-stage attack and defense effectively.3.In the continuous real-time network attack and defense confrontation,the paper constructs the evolutionary model for the network security states based on the epidemic dynamic models and analyzes the evolution laws of the network security states,according to the characteristics of the rapid change of the network security state.On this basis,the differential game theory is adopted to establish the Attack-Defense differential game model,and the algorithm for selecting the optimal network defense strategies is designed.Besides,the saddle point strategies are given to support the defense strategy selection of the Attack-Defense process in continuous and real-time conditions,which is of great significance for the network defense decision-making in the actual network environment.