Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)

Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)

Intrusion Detection Systems, specifically Network Anomaly Detection Systems (NADSs) are vital tools in network security. The NADSs are affected by data imbalance issues in classifying minority classes. Also, designing an efficient detection framework is sought after to achieve a higher detection rat...

Bibliografski detalji
Glavni autori:	Mohammad Kazim Hooshmand, Manjaiah Doddaghatta Huchaiah, Ahmad Reda Alzighaibi, Hasan Hashim, El-Sayed Atlam, Ibrahim Gad
Format:	Članak
Jezik:	English
Izdano:	Elsevier 2024-05-01
Serija:	Alexandria Engineering Journal
Teme:	IDS Network anomaly detection systems Ensemble learning XGBoost SMOTE Oversampling
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1110016824002850

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