Redundant and Irrelevant Feature Detection System using Online Feature Selection Algorithm

G. Supriya and A. Sureshbabu

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 4, 743-745

Abstract: Developing effective and adaptive security approaches in network has become more critical than ever before. Security techniques such as Intrusion detection system is highly recommended to provide security but such security defence systems facing decision making problems due to the presence of irrelevant and redundant feature. To handle this condition, online feature selection algorithm has been proposed in this paper. With the help of this proposed technique, intruder will be identified by classifying packets as anomaly and normal .

Keywords: Feature Selection; Intrusion detection; KDD Cup 99 Dataset. (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT11724111
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