Dynamic weight clustered federated learning for IoT DDoS attack detection

Abstract The challenges of data heterogeneity and the complexity of cybersecurity attacks, specifically Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT), require advanced solutions beyond the conventional federated learning (FL)-based DDoS attack detection. This paper int...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Yonas Kibret Beshah, Surafel Lemma Abebe, Henock Mulugela Melaku
Format: Article
Language:English
Published: Nature Portfolio 2025-09-01
Subjects:
Federated learning
Clustered federated learning
Dynamic weighting
IoT DDoS attack
Privacy preserving
Online Access:https://doi.org/10.1038/s41598-025-13204-y

Internet

https://doi.org/10.1038/s41598-025-13204-y

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