Network defense strategy selection based on best-response dynamic evolutionary game model

Since traditional game theory applying to network attack and defense has the restriction of complete rational, we establish non-cooperative evolutionary game model of network attack and defense on the premise of bounded rationality, and solved by the replicator dynamic equations. For the strategy learning evolution process of defender, we use the Best-response dynamic learning mechanism to establish the dynamic evolutionary game model between defenders, which can analyze the dynamic evolution process and defense evolution equilibrium point of defending strategy selection. Then, we summarize the evolution laws of network defense strategy selection under bounded rationality. The validity of the model and method is validated by system simulation.