Selection of Optimal Defense Strategy Based on Dynamic Evolutionary Game of Incomplete Information

Abstract

Currently, network security accidents occur frequently, and traditional passive defense technologies can no longer deal with unknown network security threats. In response to this problem, we constructed a dynamic evolutionary game model based on incomplete information combined with the actual situation of network offense and defense. Based on the assumption of bounded rationality of both parties in the game, we designed the optimal active defense strategy selection algorithm, the replicator dynamics equation is introduced to analyze the evolutionary trend of the strategies of both offense and defense under various attack modes. And by comparing with existing research methods, the superiority and practicability of this method are confirmed, and it has theoretical value and practical guiding significance for the research of new network active defense technology.