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Redundant and Irrelevant Feature Detection System using Online Feature Selection Algorithm

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  • G. Supriya
  • A. Sureshbabu

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 .

Suggested Citation

  • G. Supriya & A. Sureshbabu, 2017. "Redundant and Irrelevant Feature Detection System using Online Feature Selection Algorithm," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(4), pages 743-745, August.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit11724111
    Note: Article URL: https://ijsrcseit.com/CSEIT11724111
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