Research On Network Virus Propagation Dynamics And Control

The pervasive applications of internet technology have significantly intensified security concerns in cyberspace,becoming the focus of national and social attention.As one of the main threats to network security,Network viruses not only cause jeopardy to social life but also result in economic losses.To maintain cyberspace security,the conventional virus defense measures mainly include installing antivirus software,regularly updating operating systems and software and implementing security policies and controls.However,these policies always lag behind the update of network viruses.In the face of new network viruses,traditional virus prevention and control strategies have lost some effectiveness.Therefore,it is of great significance to study the laws of network virus transmission and prevention and control strategies.This article has studied the propagation dynamics of network viruses in computer networks and wireless sensor networks from different perspectives,applied the principles of network virus dynamics to establish a practical virus propagation model,analyzed the propagation process of viruses,revealed the propagation laws of viruses in the network,and based on this,formulated scientific and effective virus prevention and control strategies to suppress or reduce the spread of viruses.The main research results are as follows:（1）Aiming at the problem of the time required for virus detection and killing software to clean up worm viruses in computer networks,a class of time-delay D-SEIQRS worm virus propagation model is proposed.By deeply analyzing the mathematical model,the local stability of virus free equilibrium point is obtained when R₀<1;By using the Routh-Hurwitz criterion,we obtain a sufficient condition for the local stability of the virus equilibrium when R₀>1,and the time delay critical point of the Hopf bifurcation is calculated;Finally,the conclusion is demonstrated by numerical simulation.The experiment shows that strengthening users’awareness of network security,not clicking on unknown links easily,updating anti-virus software in time,installing firewall devices in advance,repairing system vulnerabilities regularly,and improving worm detection technology can reduce the number of infected nodes when the system detects the spread of viruses and cuts off power and network,so as to effectively control the spread of worms in the network,It provides a theoretical reference for the research of delayed virus diffusion mechanism and defense strategy.（2）Aiming at the problem of virus mutation in wireless sensor networks and the inability of abnormal node detection techniques to detect and locate abnormal nodes,a new SEIQRV-Type virus propagation model was proposed.Based on the basic regeneration number R₀,the stability of equilibrium point is analyzed,and then the influence of transition parameters between node states on virus propagation is studied.The simulation results show that when R₀<1,the network viruses are finally eliminated over time;When R₀>1,the virus continues to spread in the wireless sensor network.By reducing the infection rate coefficient of nodes in S-E state,improving the installation rate of anti-virus software of sensor nodes,enhancing the isolation rate of infected nodes,increasing the virus detection rate and node immunity rate,appropriately reducing the communication radius and increasing the node adding rate or removing rates,virus propagation in wireless sensor networks can be effectively controlled.