Simulating Malware Propagation with Different Infection Rates

The aim of this work is to introduce and analyze an novel SCIRS model for malware propagation that considers different infection rates for both infectious and carrier devices. This model is an improvement of a former theoretical model where infectious and carrier have the same behavior in the infection phase. The proposed model is mathematically studied and some important conclusions about its behavior are derived. Moreover, efficient security countermeasures are obtained from the analysis of the basic reproductive number, and a brief comparison with the former model is presented.