A clustered-LPSEIRS malware propagation model in complex networks

A clustered-LPSEIRS malware propagation model in complex networks

Abstract In this paper, we present a new malware propagation model that integrates epidemic spread, clustering, and link prediction techniques, tailored for complex network networks. Our model is based on the clustered-link prediction-susceptible-exposed-infected-recovered (clustered-LPSEIRS) epidem...

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Bibliographic Details
Main Authors: Elham Asadi, Soodeh Hosseini
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Applied Network Science
Subjects:
Malware propagation
Link prediction
Clustering
Basic reproductive ratio
Complex networks
Epidemic model
Online Access:https://doi.org/10.1007/s41109-024-00672-w

Internet

https://doi.org/10.1007/s41109-024-00672-w

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