A feature-level ensemble machine learning approach for attack detection in IoT networks

A feature-level ensemble machine learning approach for attack detection in IoT networks

Abstract The rapid adoption of Internet-of-Things (IoT) technologies in smart cities has enabled efficient data exchange among interconnected devices, enhancing automation and real-time decision-making. However, the proliferation of IoT applications and devices has also introduced significant cybers...

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Bibliographic Details
Main Authors: Firoz Khan, B. S. Sunil Kumar, Sangeeta Sangani
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Internet of Things
Subjects:
IoT security
Intrusion detection
Concept drift
Class imbalance
Machine learning
WO-XGB
Online Access:https://doi.org/10.1007/s43926-025-00185-7
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https://doi.org/10.1007/s43926-025-00185-7

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