Research and Simulation of Computer Virus Propagation Model Based on Netlogo

Based on the infectious, destructive, and latent characteristics of computer viruses, we constructed a B-SEIR model with the SEIR model and Netlogo platform. The simulation results show that increasing the probability of transformation from latent state to complete immune state β and from infected state to complete immune state γ effectively reduces the risk of virus infection in the network. Decreasing the probability of new nodes joining the network μ and the probability of computer crash caused by virus infection in the network δ also effectively reduces the number of infected computers. At the same time, reasonable suggestions are put forward for the experimental results.