A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

The network intrusion detection system (NIDS) aims to identify virulent action in a network. It aims to do that through investigating the traffic network behavior. The approaches of data mining and machine learning (ML) are extensively used in the NIDS to discover anomalies. Regarding feature select...

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Bibliographic Details
Main Author: Omar Almomani
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
network intrusion detection system (NIDS)
network security
feature selection
particle swarm optimization (PSO)
grey wolf optimizer (GWO)
firefly optimization algorithm (FFA)
Online Access:https://www.mdpi.com/2073-8994/12/6/1046

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https://www.mdpi.com/2073-8994/12/6/1046

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