Wireless Network Intrusion Detection Algorithm Based on Multiple Perspectives Hierarchical Clustering

Aiming at the problems of high false detection rate, difficult to find unknown attack behavior and high cost of obtaining marked data in existing wireless network intrusion detection algorithms based on supervised learning, this paper proposes an unsupervised wireless network intrusion detection alg...

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Auteur principal:	DONG Xinyu, XIE Bin, ZHAO Xusheng, GAO Xinbao
Format:	Artigo
Langue:	Chinês
Publié:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-12-01
Collection:	Jisuanji kexue yu tansuo
Sujets:	|multiple perspectives|hierarchical clustering|wireless network|intrusion detection|principal component analysis (pca)
Accès en ligne:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2104115.pdf
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