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

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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Bibliographic Details
Main Authors: Senthil Prabakaran, Ramalakshmi Ramar, Irshad Hussain, Balasubramanian Prabhu Kavin, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi, Abdullah Alshehri
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
software defined network
network function virtualization
firewall
SDNFV
attack prediction
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/3/709

Internet

https://www.mdpi.com/1424-8220/22/3/709

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