A malware propagation model considering software diversity and topology dynamics

Abstract

In this paper, we propose a susceptible-exposed-infected-recovered-susceptible (SEIRS) epidemic model in scale-free networks (SFNs). The aim has been to model the impact of software diversity and a defense mechanism to reduce malware propagation in SFNs. The dynamics of network topology was considered during the propagation process. During the malware… (More)

4 Figures and Tables

Topics

  • Presentations referencing similar topics