Defense strategy selection based on signaling game

Nowadays, network security defense based on game theory mostly used complete information or static game model. In order to get closer to the actual network and defend actively, we proposed a network attack-defense game model based on signaling game, which was modeled in a dynamic and incomplete way. We improved the attack-defense strategies quantitative method of the completed static game model to meet the needs of the network signaling game model. Moreover, we put forward an active defense strategy selecting algorithm to select optimal defense strategy for different characters of defender. At last, we analyzed and proved the feasibility and validity of the model and method through a network example.