A novel data-driven integrated detection method for network intrusion classification based on multi-feature imbalanced data

The multi-feature and imbalanced nature of network data has always been a challenge to be overcome in the field of network intrusion detection. The redundant features in data could reduce the overall quality of network data and the accuracy of detection models, because imbalance could lead to a decr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of intelligent & fuzzy systems 2024-03, Vol.46 (3), p.5893-5910
Hauptverfasser:	Wang, Chia-Hung, Ye, Qing, Cai, Jiongbiao, Suo, Yifan, Lin, Shengming, Yuan, Jinchen, Wu, Xiaojing
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive sampling Algorithms Classification Data analysis Datasets Feature maps Machine learning Model accuracy
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!