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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Principais autores:	Senthil Prabakaran, Ramalakshmi Ramar, Irshad Hussain, Balasubramanian Prabhu Kavin, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi, Abdullah Alshehri
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-01-01
coleção:	Sensors
Assuntos:	software defined network network function virtualization firewall SDNFV attack prediction machine learning
Acesso em linha:	https://www.mdpi.com/1424-8220/22/3/709
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