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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Vydané v:	IEEE transactions on computers Ročník 65; číslo 10; s. 2986 - 2998
Hlavní autori:	Ambusaidi, Mohammed A., Xiangjian He, Nanda, Priyadarsi, Zhiyuan Tan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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