Improved identification of network anomalies through optimal CURE clustering

In this paper, we propose an advanced network anomaly behavior identification framework to overcome the constraints inherent in conventional rule- or signature-based approaches, which often struggle with emerging and previously unknown threats. Central to our framework is an Enhanced CURE (Cluster U...

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Bibliographic Details

Published in:	Engineering Research Express Vol. 6; no. 4; pp. 45217 - 45231
Main Authors:	Wu, Xiaoqian, Chen, Cheng, Quan, Lili
Format:	Journal Article
Language:	English
Published:	IOP Publishing 01.12.2024
Subjects:	anomaly identification clustering algorithm network anomalous behavior
ISSN:	2631-8695, 2631-8695
Online Access:	Get full text
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