Privacy-Preserving Hierarchical Fog Federated Learning (PP-HFFL) for IoT Intrusion Detection

The rapid expansion of the Internet of Things (IoT) across critical sectors such as healthcare, energy, cybersecurity, smart cities, and finance has increased its exposure to cyberattacks. Conventional centralized machine learning-based Intrusion Detection Systems (IDS) face limitations, including d...

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Bibliografiske detaljer

Principais autores:	Md Morshedul Islam, Wali Mohammad Abdullah, Baidya Nath Saha
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-11-01
Serier:	Sensors
Fag:	internet of things (IoT) intrusion detection system (IDS) fog computing federated learning (FL) personalized federated learning (PFL) scalable IoT systems
Online adgang:	https://www.mdpi.com/1424-8220/25/23/7296
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