In order to improve the adaptability and defense effectiveness of the platform dynamic defense system to virus, a platform dynamic defense evolution game model and state migration strategy based on the finite rational hypothesis are studied. First, the mechanism of virus transmission and infection is elaborated, and the state migration relationship in the platform dynamic defense is provided. Secondly, the PDD evolutionary game model is established, and immune factors are introduced in the income calculation while the immune characteristics between the migrating platform and the virus type are considered. At last, the flow chart and method of single state evolutionary stability strategy analysis are given in demo, and a novel node state migration strategy are presented as well as the corresponding algorithm. Theoretical analysis and simulation results show that the node state migration evolutionary equilibrium strategy of platform dynamic defense has better efficiency, and can effectively solve the platform migration selection problem of platform dynamic defense system in the case of random attack viruses.