Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems

With the proliferation of IoT devices, ensuring the security and privacy of these devices and their associated data has become a critical challenge. In this paper, we propose a federated sampling and lightweight intrusion-detection system for IoT networks that use K-meansfor sampling network traffic...

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Principais autores:	Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Christophe Guyeux, Abdallah Makhoul, Dominique Ginhac
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-08-01
Serija:	Sensors
Teme:	federated learning internet of things lightweight intrusion detection lightweight sampling semi-supervised learning
Online dostop:	https://www.mdpi.com/1424-8220/23/16/7038
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