Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network

Decoupled data and control planes in Software Defined Networks (SDN) allow them to handle an increasing number of threats by limiting harmful network links at the switching stage. As storage, high-end servers, and network devices, Network Function Virtualization (NFV) is designed to replace purpose-...

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Detalles Bibliográficos
Autores principales: Prabakaran, Senthil, Ramar, Ramalakshmi, Hussain, Irshad, Kavin, Balasubramanian Prabhu, Alshamrani, Sultan S., AlGhamdi, Ahmed Saeed, Alshehri, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839531/
https://www.ncbi.nlm.nih.gov/pubmed/35161456
http://dx.doi.org/10.3390/s22030709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839531/
https://www.ncbi.nlm.nih.gov/pubmed/35161456
http://dx.doi.org/10.3390/s22030709

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