DDoS detection using CURE clustering algorithm with outlier removal clustering for handling outliers

DoS (Denial of Service) and DDoS (Distributed Denial of Service) is an anomalous traffic phenomena that is need serious attention. In the previous research has already been discussed on traffic anomaly detection based on clustering, with a hierarchical clustering algorithm method. In this paper, we...

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Bibliographic Details

Published in:	2015 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC) pp. 12 - 18
Main Authors:	Laksono, Muhammad Agung Tri, Purwanto, Yudha, Novianty, Astri
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2015
Subjects:	Algorithm design and analysis Clustering algorithms Computer crime CURE clustering algorithm DDoS Intrusion detection outliers Partitioning algorithms Shape Telecommunication traffic traffic anomaly detection
Online Access:	Get full text
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