Network defense strategy selection method for optimal reaction dynamic evolution game model

[0030] Example 1, combining Figure 1-Figure 7 , A network defense strategy selection method based on an optimal response dynamic evolution game model, including the following steps:

[0031] Step 1: Based on bounded rationality conditions, use the optimal reaction dynamic learning mechanism to construct an evolutionary game model of offense and defense based on optimal reaction dynamics;

[0032] The optimal response dynamic evolution game model in step 1 can be expressed as a four-tuple, BRDEGM=(D,DS,P,U)

[0033] D={d 1 ,d 2 ,...D n } Represents the defense participant space, where d i Represents defender i, different defenders can choose different defense strategies;

[0034] DS={DS 1 ,DS 2 ,...DS m } Represents the defense strategy space, and different defenders share the defense strategy set;

[0035] P={p 1 ,p 2 ,...P m } Represents the defender’s belief set, where p i Indicates that the defender selects the defense strategy DS i The probability;

[0036] U={U 1 ,U 2 ,...U m } Repre

[0046] Example 2, combining Figure 1-Figure 7 , A network defense strategy selection method based on the optimal response dynamic evolution game model, used to analyze the network attack and defense evolution game process. Since the commonly used replication dynamic learning mechanism has problems such as slow learning speed and low learning efficiency, the present invention still adopts the idea of ​​evolutionary game, based on bounded rational conditions, utilizes the optimal response dynamic learning mechanism to construct an attack and defense evolution based on the optimal response dynamic The game model analyzes the dynamic evolution process of the defense strategy selection and the equilibrium point of defense evolution, and studies the defense strategy selection among different defenders. Based on the established optimal response dynamic evolution game model, the model is analyzed and solved through a specific example, and the model is further promoted to improve the gene