In this paper, we propose a discrete-time SEIRS epidemic model in scale-free networks (SFNs) to study dynamical behaviors of malware propagation. In proposed model we consider software diversity as a defense mechanism to reduce epidemic spreading in SFNs. Dynamical behaviors of discrete-time SEIRS model is determined by Basic reproductive ratio which is often used as a threshold parameter, also we calculate the number of diverse software packages installed on nodes that can be as a parameter to prevent malware propagation. Theoretical results show that basic reproductive ratio is significantly dependent on diverse software packages and the network topology. Numerical simulations are given to investigate the theoretical analysis.
Scale-free network; Malware propagation; software diversity; basic reproductive ratio