An Effective Ensemble Automatic Feature Selection Method for Network Intrusion Detection

The mass of redundant and irrelevant data in network traffic brings serious challenges to intrusion detection, and feature selection can effectively remove meaningless information from the data. Most current filtered and embedded feature selection methods use a fixed threshold or ratio to determine...

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Bibliographic Details
Main Authors:	Zhang, B. (Author), Zhang, H. (Author), Zhang, Y. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	automatic feature selection Automatic feature selection Classification (of information) cyber security Cyber security Cybersecurity ensemble method Ensemble methods Feature Selection Feature selection methods Intrusion detection Intrusion detection system intrusion detection system (IDS) Intrusion Detection Systems Large dataset Network intrusion detection Network security Normalized score of mixed normalized score of mixed (NSOM) Normalized scores Performance Set theory
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

An Effective Ensemble Automatic Feature Selection Method for Network Intrusion Detection

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