A clustering algorithm for intrusion detection

@inproceedings{Wang2005ACA,
  title={A clustering algorithm for intrusion detection},
  author={Qiang Wang and Vasileios Megalooikonomou},
  booktitle={Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security},
  year={2005}
}
In this paper, we introduce a new clustering algorithm, FCC, for intrusion detection based on the concept of fuzzy connectedness. This concept was introduced by Rosenfeld in 1979 and used with success in image segmentation; here we extend this approach to clustering and demonstrate its effectiveness in intrusion detection. Starting with a single or a few seed points in each cluster, all the data points are dynamically assigned to the cluster that has the highest fuzzy connectedness value… CONTINUE READING
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