Application of game model in dynamic network defence

To enhance dynamic network defence and maintain security, we propose an evolutionary game model to select multi-combination strategies for deploying dynamic defence elements.Additionally, a cycle-switching strategy based on an improved FlipIt game model is introduced, which selects the optimal transition period under different attack strengths.Defenders adopt a 'flip' strategy to deal with attackers' intrusion behaviour, while attackers gain profits by breaking through defence strategies and occupying resources.A spatiotemporal switching strategy, leveraging the Stackelberg game model, is proposed for joint spatial and temporal decision-making.In terms of performance, the genetic algorithm-based multi-combination strategy selection took 3,793 s, while the evolutionary game model required only 3,265 s.The simulation results show that under six defence configurations, the defence effectiveness of the spatiotemporal switching strategy is close to 0.98, which can avoid 98% of attacks and potential losses, indicating that the defence effect is close to optimal.The proposed models effectively improve dynamic defence system configuration and defence benefits, contributing to a stronger defence posture in network security confrontations.