| Nowadays,with the application of network,people’s production and life are increasingly unable to leave the computer.People are using new Internet technology to improve connectivity and are experiencing an unprecedented wave of cyber attacks.The goal of most cybersecurity research is either to target cyberattacks or to provide specialized defenses against well-defined offensive plans.However,most of the general defense technologies are static or passive protection.In the face of unknown attacks and instantaneous intrusions in the network,the active network security protection is often unable to be effectively implemented.Despite the importance of this approach to network security research,little attention has been paid to the active interaction between attackers and defenders.In game theory,the characteristics of objective isolation,non-cooperative spirit and strategic dependence are consistent with the characteristics of Internet offense and defense.Therefore,people apply the game model to the field of network security to realize the reasonable reasoning of intrusion intention,goal and strategy.The traditional game theory is constructed under the condition of sufficient rationality of investors,which is contrary to the reality of attack and defense,and weakens the effectiveness of the mode and scheme.This paper uses the moving target to design defense technology,and then combines the asymmetric game with it to comprehensively study the attack and defense game modes of moving target defense in different attack and defense environments.And the corresponding optimal defense strategy selection algorithm is proposed.The main research involves the following points:Offensive and defensive strategies based on network scenarios have the characteristics of big difference in offensive and defensive status and sequential offensive and defensive actions.The theoretical basis of this paper is to grasp the information as the game point,and according to the characteristics of moving target defense,explore the defensive strategy based on the analysis of offensive and defensive game.This paper analyzes the moving target and defense strategy from the Angle of attack surface,establishes the connection between the defender and the attacker,carries on the communication,analyzes how the defender releases the signal,puts forward the game mode of confrontation,and puts forward the optimal defense strategy selection scheme of refining the Bayesian equilibrium calculation method.Through the analysis of experimental data,the changing rules of mobile information defense technology and active defense technology combined with information countermeasure are obtained.In the process of real-time mobile defense,the different technologies and network operating environments of the two sides make the offensive and defensive struggle show the characteristics of multi-step game.The basic game theory model cannot show the multi-step confrontation process in this kind of offensive and defensive environment.Based on the original confrontation,Markov model is added,and the final income of both sides is taken as the objective function.Considering the loss problem in the confrontation process,performance parameters are designed,and the optimal strategy selection algorithm is obtained by solving the game equilibrium at each stage.The effectiveness and feasibility of the model and scheme are proved by simulation practice.Nowadays,network attack and defense are constantly upgraded,and some can even carry out confrontation at any time,continuously without interruption,and the number of times can be doubled.Meanwhile,the influence of random factors on the operation of network system cannot be ignored.Therefore,the author puts forward the differential game model,to cope with the severe environment,and deduce the strategy and confrontation process of the two sides,take the final revenue of the two sides as the objective function,analyze and measure the equilibrium of the two sides of the game,give the calculation method of the best tactics,and prove the effectiveness and feasibility of the above theory and technology through the simulation practice. |
