Barrier Number Estimation with Machine Learning for Intrusion Detection in Wireless Sensor Networks

Intrusion detection in wireless sensor networks is crucial for ensuring network security. This study focuses on the problem of estimating the number of barriers necessary for effective intrusion detection in WSNs. The aim is to make accurate predictions to improve security optimization in WSNs. To t...

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Principais autores:	Duygu Kaya, Nisanur Çakan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Firat University 2025-06-01
coleção:	Firat University Journal of Experimental and Computational Engineering
Assuntos:	kablosuz sensör ağları saldırı tespiti makine öğrenimi regresyon modelleri bariyer tahmini wireless sensor networks intrusion detection machine learning regression models barrier prediction
Acesso em linha:	https://dergipark.org.tr/tr/download/article-file/4500438
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