Machine Learning-Driven Intrusion Detection for Securing IoT-Based Wireless Sensor Networks

Wireless sensor networks (WSNs) have become a critical component of modern Internet of Things (IoT) infrastructures; however, their constrained resources and distributed deployment expose them to various cyber threats. In this work, we present a machine learning-driven intrusion detection framework...

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Bibliografiske detaljer

Principais autores:	Yirga Yayeh Munaye, Abebaw Demelash Gebeyehu, Li-Chia Tai, Zemenu Alem Abebe, Aeneas Bekele Workneh, Robel Berie Tarekegn, Yenework Belayneh Chekol, Getaneh Berie Tarekegn
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-02-01
Serier:	Future Internet
Fag:	wireless sensor networks intrusion detection system internet of things XGBoost gradient boosting
Online adgang:	https://www.mdpi.com/1999-5903/18/2/113
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