Analysis of KDD ’ 99 Intrusion Detection Dataset for Selection of Relevance Features

  title={Analysis of KDD ’ 99 Intrusion Detection Dataset for Selection of Relevance Features},
  author={Adetunmbi A. Olusola and Adeola S. Oladele and Daramola O. Abosede},
  • Adetunmbi A. Olusola, Adeola S. Oladele, Daramola O. Abosede
  • Published 2009
The rapid development of business and other transaction systems over the Internet makes computer security a critical issue. In recent times, data mining and machine learning have been subjected to extensive research in intrusion detection with emphasis on improving the accuracy of detection classifier. But selecting important features from input data lead to a simplification of the problem, faster and more accurate detection rates. In this paper, we presented the relevance of each feature in… CONTINUE READING
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A Data Mining Approach to Network Intrusion Detection

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A Rough Set Approach for Detecting known and novel Network ntrusion

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Selecting Features for Intrusion Detection: A Feature Analysis on KDD 99 Intrusion Detection Datasets

  • H. G. Kayacik, A. N. Zincir-Heywood, M. L. Heywood
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