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

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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Bibliographic Details
Main Authors: Md. Alamgir Hossain, Sadman Saif, Md. Saiful Islam
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Complex & Intelligent Systems
Subjects:
Federated IoT security
Privacy-preserving intrusion detection
SHAP-based knowledge distillation
Decentralized feature aggregation
Non-IID data handling
Botnet detection in IoT
Online Access:https://doi.org/10.1007/s40747-025-02001-9
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https://doi.org/10.1007/s40747-025-02001-9

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