A malware propagation model considering software diversity and topology dynamics


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)

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