A deep learning/machine learning approach for anomaly based network intrusion detection

IntroductionThe increasing complexity and frequency of cybersecurity threats necessitate the development of advanced detection systems capable of identifying both known and emerging attacks. In this study, we present a hybrid anomaly-based Network Intrusion Detection System (NIDS) that integrates mu...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Reem Almuhanna, Samia Dardouri
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	cybersecurity network intrusion detection system machine learning deep learning XGBoost GNN
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2025.1625891/full