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...
Main Authors: | Mohammad Kazim Hooshmand, Manjaiah Doddaghatta Huchaiah, Ahmad Reda Alzighaibi, Hasan Hashim, El-Sayed Atlam, Ibrahim Gad |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-05-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824002850 |
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