Feature Grouping for Intrusion Detection System Based on Hierarchical Clustering

@inproceedings{Song2014FeatureGF,
  title={Feature Grouping for Intrusion Detection System Based on Hierarchical Clustering},
  author={Jingping Song and Zhiliang Zhu and Chris J. Price},
  booktitle={CD-ARES},
  year={2014}
}
  • Jingping Song, Zhiliang Zhu, Chris J. Price
  • Published in CD-ARES 2014
  • Computer Science
  • Intrusion detection is very important to solve an increasing number of security threats. With new types of attack appearing continually, traditional approaches for detecting hazardous contents are facing a severe challenge. In this work, a new feature grouping method is proposed to select features for intrusion detection. The method is based on agglomerative hierarchical clustering method and is tested against KDD CUP 99 dataset. Agglomerative hierarchical clustering method is used to construct… CONTINUE READING

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