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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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2024-10-01
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| coleção: | Applied Network Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s41109-024-00672-w |
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