• Proposes a novel six-compartment computer virus spreading model (susceptible, unisolated latent, isolated latent, infected, recovered, crashed) specifically tailored to campus network terminal security.
• Derives the basic reproduction number and disease-free equilibrium point, providing a theoretical foundation for predicting virus outbreak dynamics.
• Uses real-world university data to quantify key transition probabilities (infection rate, removal rate, security protection deployment rate) and track group variations.
• Simulation results guide targeted terminal protection measures that effectively suppress virus spread and ensure stable campus network operations.