The dynamics of an SEIRS-QV malware propagation model in heterogeneous networks

Abstract

In this paper, we introduce a new dynamic model of malware propagation in heterogeneous networks based on a rumor diffusion model, which comprises both vaccination and quarantine methods. The proposed model is referred to as the susceptible–exposed–infected–recovered–susceptible with vaccination and quarantine states (SEIRS-QV) model. The model considers the impacts of user awareness, network delay and diverse configuration of nodes to study dynamical behavior of malware propagation. We carry out the systematic analysis of the model and indicate the stability of the malware-free equilibrium. Using numerical simulations, we examine the theoretical analysis. By numerical simulations, we show that our model is appreciably better than other models in terms of reducing malware propagation speed. Furthermore, we investigate many related dynamics properties to make the results more completed.