Effects of feature selection and normalization on network intrusion detection

Effects of feature selection and normalization on network intrusion detection

The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). However, the adven...

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Bibliographic Details
Main Authors:	Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu
Format:	Article
Language:	English
Published:	KeAi Communications Co. Ltd. 2025-03-01
Series:	Data Science and Management
Subjects:	Cybersecurity Intrusion detection system Machine learning Deep learning Feature selection Normalization
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666764924000390
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