A New Internet-Draft is available from the on-line Internet-Drafts directories.
Title : An Algorithm for Intrusion Prevention System
based on Fuzzy Connectedness Clustering
Author(s) : Y. Yang, et al.
Filename : draft-yang-ipsfcc-algorithm-00.txt
Pages : 20
Date : 2005-10-21
In this document, an algorithm for intrusion prevention systems based
on fuzzy connectedness clustering was presented in order to measure
the similarity. Fuzzy connectedness that was first applied in image
segmentation was extended to clustering algorithm, and used as the
similarity metric between objects to be clustered. By a little expert
knowledge, starting with at least one seed data in each cluster, the
similarity between each data in dataset and each seed data in each
cluster was measured. According to the highest fuzzy connectedness
of each data, clustering was finished. This algorithm was applied in
intrusion prevention systems as a tool of detecting intrusion,
overcoming some shortcomings of previous clustering algorithm.
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