Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big data. In this paper, we propose a...

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Veröffentlicht in:	IEEE transactions on computers Jg. 65; H. 10; S. 2986 - 2998
Hauptverfasser:	Ambusaidi, Mohammed A., Xiangjian He, Nanda, Priyadarsi, Zhiyuan Tan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classification Correlation Drafting Feature extraction feature selection Intrusion detection Intrusion detection systems least square support vector machine linear correlation coefficient Mutual information Random variables Support vector machines
ISSN:	0018-9340, 1557-9956
Online-Zugang:	Volltext
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