Research On Network Defense Strategy Selection Based On Random Game And Tabu Search

Internet plus emerge in an endless stream of Internet security.The network security incidents are endless.The vulnerabilities and security threats of information systems are developing at a high level,which poses a great challenge to network security defense.Network security defense strategy is the winning factor of network active defense.The premise of network defense strategy selection and the consideration of attacker's penalty cost in attack and defense revenue quantification all affect the effectiveness of defense strategy to varying degrees.Based on the actual network attack and defense problems,this paper constructs a tabu random game model,and sets the premise as bounded rationality,constructs a tabu random game model to achieve the best network defense effect at the lowest cost:1.By studying the existing network attack and defense game model,this paper analyzes the shortcomings and defects of the existing model,and proposes a tabu random game model in line with the actual situation.The penalty factor and attack success rate are introduced into the attack and defense revenue quantification,which improves the accuracy of attack and defense revenue calculation.2.Considering the space complexity,time complexity and convergence of the algorithm when the defending party chooses the defense strategy in the network attack and defense,the tabu search algorithm is taken as the embedded algorithm of the tabu random game model,and the attack and defense game process is analyzed on the premise of bounded rationality,The tabu list is used to simulate the memory mechanism of human beings,so as to improve the efficiency of strategy analysis of tabu random game model.The experimental results show that this method can achieve the optimal strategy selection,and has good computational efficiency and small space overhead.