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...

Ful tanımlama

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Yirga Yayeh Munaye, Abebaw Demelash Gebeyehu, Li-Chia Tai, Zemenu Alem Abebe, Aeneas Bekele Workneh, Robel Berie Tarekegn, Yenework Belayneh Chekol, Getaneh Berie Tarekegn
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2026-02-01
Seri Bilgileri:	Future Internet
Konular:	wireless sensor networks intrusion detection system internet of things XGBoost gradient boosting
Online Erişim:	https://www.mdpi.com/1999-5903/18/2/113
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

Benzer Materyaller