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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Bibliografiska uppgifter

Huvudupphov:	Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	KeAi Communications Co. Ltd. 2025-03-01
Serie:	Data Science and Management
Ämnen:	Cybersecurity Intrusion detection system Machine learning Deep learning Feature selection Normalization
Länkar:	http://www.sciencedirect.com/science/article/pii/S2666764924000390
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