Evolutionary game theory is widely applied in network attack and defense. The existing
network attack and defense analysis methods based on evolutionary games adopt the …

Since the characteristics of opposite objectives, non-cooperation relationship, and
dependent strategies of network attack and defense are highly consistent with game theory …

The basic hypothesis of evolutionary game theory is that the players in the game possess
limited rationality. The interactive behavior of players can be described by a learning …

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 …

Existing approaches of cyber attack‐defense analysis based on stochastic game adopts the
assumption of complete rationality, but in the actual cyber attack‐defense, it is difficult for …

In view of the differences and limitations of the cognitive abilities of both sides of network
security attack and defense, the current network defense decision-making methods using …

The issue of selecting the optimal defense strategy in the dynamic adversarial network is
difficult. To solve this problem, we start from the realistic bounded rationality of both the …

The generation of optimal defense strategies in dynamic adversarial environments is crucial
for cybersecurity. Recently, defense approaches based on evolutionary game theory have …

While network attack and defense are experiencing a rapid change, the current research
achievements of network security based on traditional game theory fail to characterize the …

The existing game-theoretic approaches for network security problems mostly use the static
game or the multi-stage dynamic game. However, these researches can not meet the …