Federated PCA on Grassmann Manifold for IoT Anomaly Detection

With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of devices, network security faces significant challenges, especially from anomalous activities. While traditional machine learning-based intrusion detection systems (ML-IDS) effectively employ supervised learni...

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Veröffentlicht in:	IEEE/ACM transactions on networking 2024-10, Vol.32 (5), p.4456-4471
Hauptverfasser:	Nguyen, Tung-Anh, Le, Long Tan, Nguyen, Tuan Dung, Bao, Wei, Seneviratne, Suranga, Hong, Choong Seon, Tran, Nguyen H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomaly detection consensus optimization Data models Federated learning Grassmann manifolds Internet of Things Manifolds Optimization Principal component analysis Security
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