Research On Computer Virus Propagation Model Based On Dynamic Switching Behavior

With the development and expansion of Internet technology,information life has brought great convenience to people,but the computer virus has also become a security risk in the Internet era.The increasing proliferation of computer viruses has seriously threatened the security of cyberspace and brought bad effects to the society.Therefore,it is an important goal of computer virus prevention to study the spread law of computer virus and put forward the strategy to inhibit the spread of virus.In view of the shortcomings of the existing virus research models,this paper proposes a computer virus propagation model with switching characteristics and immune control at the same time,and carries out simulation experiments on BA scale-free network and WS small world network.The main contents of this paper are as follows:(1)Aiming at the fact that the security protection and the influence of virus continuous update on the transmission process of computer virus are not considered in the current research of computer virus transmission modeling,a computer virus SEIR(Susceptible-Exposed-Infected-Recovery)transmission model with switching characteristics is proposed.The model is composed of two subsystems.Under the influence of different security protection stages and virus update,two sub-systems are proposed The system switches between systems.The propagation threshold of the model is calculated based on the uniform network and the non-uniform network respectively.Then,the BA scale-free network and WS small world network are constructed by using the relevant algorithms.The simulation experiments are carried out to verify the effectiveness of the model.And the experimental analysis and comparison were carried out with the relevant factors.The results show that:the smaller the ratio of the duration of low protection transmission period to that of high protection transmission period,the smaller the density of latent nodes and infected nodes when they reach a stable level;the longer the virus update cycle,the lower the peak density of latent nodes and infected nodes.(2)On the basis of the first part,the immune control strategy is considered,and the immune control strategy is divided into two different ways: continuous immune and instantaneous immune.Based on uniform network and non-uniform network,the SEIR(Susceptible-Exposed-Infected-Recovery)computer virus propagation model with both switching characteristics and immune control is constructed.Numerical simulation experiments are carried out in BA scale-free network and WS small world network to explore the influence of network average degree,immune strategy and other factors on virus propagation.The experimental results show that: the larger the average degree of network structure,the higher the density of latent node and infected node when reaching the stable state;the virus can be more effectively controlled when continuous immunity and instantaneous immunity measures work at the same time.