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Modeling Self-Propagating Malware with Epidemiological Models. (arXiv:2208.03276v1 [cs.CR])
Aug. 8, 2022, 1:20 a.m. | Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea
cs.CR updates on arXiv.org arxiv.org
Self-propagating malware (SPM) has recently resulted in large financial
losses and high social impact, with well-known campaigns such as WannaCry and
Colonial Pipeline being able to propagate rapidly on the Internet and cause
service disruptions. To date, the propagation behavior of SPM is still not well
understood, resulting in the difficulty of defending against these cyber
threats. To address this gap, in this paper we perform a comprehensive analysis
of a newly proposed epidemiological model for SPM propagation,
Susceptible-Infected-Infected Dormant-Recovered …
More from arxiv.org / cs.CR updates on arXiv.org
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