A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation

Abstract The exponential growth of the Internet of Things (IoT) has introduced new security vulnerabilities, particularly from botnet attacks that exploit the heterogeneity and limited processing capabilities of IoT devices. Traditional centralized intrusion detection models are ineffective in prote...

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Autori principali:	Md. Alamgir Hossain, Sadman Saif, Md. Saiful Islam
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2025-08-01
Serie:	Complex & Intelligent Systems
Soggetti:	Federated IoT security Privacy-preserving intrusion detection SHAP-based knowledge distillation Decentralized feature aggregation Non-IID data handling Botnet detection in IoT
Accesso online:	https://doi.org/10.1007/s40747-025-02001-9
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