Fuzzified Cuckoo based Clustering Technique for Network Anomaly Detection

•A robust anomaly detection technique, i.e., Fuzzified Cuckoo based Clustering Technique (F-CBCT) is proposed that operates in two phases, i.e., training and detection.•Decision-Tree based approach is applied in the training phase to select the most informative features from the dataset.•A combinati...

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Bibliographic Details
Published in:	Computers & electrical engineering Vol. 71; pp. 798 - 817
Main Authors:	Garg, Sahil, Batra, Shalini
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Ltd 01.10.2018 Elsevier BV
Subjects:	Anomalies Anomaly detection Cluster analysis Clustering Cuckoo-search Decision Tree Decision trees Electrical engineering Failure analysis Feature selection Fuzzy logic Fuzzy systems Fuzzy theory K-means clustering Multiple objective analysis Nature inspired algorithm Optimization algorithms Search algorithms Training Vector quantization Feature selection Decision Tree Cuckoo-search Fuzzy theory Anomaly detection K-means clustering Nature inspired algorithm
ISSN:	0045-7906, 1879-0755
Online Access:	Get full text
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