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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Bibliográfalaš dieđut
Váldodahkkit:	Yirga Yayeh Munaye, Abebaw Demelash Gebeyehu, Li-Chia Tai, Zemenu Alem Abebe, Aeneas Bekele Workneh, Robel Berie Tarekegn, Yenework Belayneh Chekol, Getaneh Berie Tarekegn
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2026-02-01
Ráidu:	Future Internet
Fáttát:	wireless sensor networks intrusion detection system internet of things XGBoost gradient boosting
Liŋkkat:	https://www.mdpi.com/1999-5903/18/2/113
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Machine Learning-Driven Intrusion Detection for Securing IoT-Based Wireless Sensor Networks

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