The F-ELV-Based Privacy-Preserving Framework for Intrusion Detection in SDN-IoT Network

Network intrusion detection in Software-Defined Networking (SDN)-enabled Internet of Things (IoT) increasingly relies on machine learning techniques. However, existing federated learning solutions predominantly focus on deep learning. This approach is impractical for resource-constrained SDN-IoT net...

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書誌詳細

主要な著者:	Abdullah Kamaruddin, Tan Saw Chin, Jaime Galan-Jimenez, Irfan-Ullah Awan, Muhammad Younas
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Access
主題:	Federated learning SDN-IoT security classical machine learning ensemble learning privacy preservation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11563315/
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