Modeling of Computer Virus Propagation with Fuzzy Parameters

Typically, a computer has infectivity as soon it is infected. It reality that no antivirus programming can identify and eliminate all kinds of viruses, suggesting infections would persevere on the Internet. To understand dynamics virus propagation in better way, spread model with fuzzy parameters presented this work. assumed infected computers do not have same contribution to transmission process each different degree infectivity, which depends quantity virus. Considering this, being functions load, are considered numbers. Using theory helps us viruses more realistically these fixed values classical models. The essential features model, like reproduction number equilibrium analysis, discussed senses. Moreover, fuzziness, two numerical methods, forward Euler technique, nonstandard finite difference (NSFD) scheme, respectively, developed analyzed. In evidence simulations, proposed NSFD method preserves main dynamic system. be reliable tool predict such types solutions.