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Applied Study of Fuzzy Clustering Algorithm in Invasion Detection

  • Lina Fei
  • Jijun Zhang
  • Qingshui Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 154)

Abstract

In view of the Intrusion detection technology in the network examination had the more or less false alarm rate and the undetected rate question, this article has introduced the fuzzy clustering algorithm, Proposed the intrusion detection engine based on fuzzy clustering algorithm, Analysis of perturbation-based fuzzy clustering methods and for mixed data from the feedback fuzzy clustering algorithm, used KDD99 data sets to verify algorithm performance, the experiment comparison fuzzy clustering method based on Transitive closure method , it is shown this algorithm in the false positive rate have obviously advantages, justify the intrusion detection algorithm to construct intrusion detection engine is feasible.

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Computer Science and Technology CollegeZhejiang University of TechnologyHangzhouChina

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