Applied Study of Fuzzy Clustering Algorithm in Invasion Detection

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.

[1]  Hai Jin,et al.  A fuzzy data mining based intrusion detection model , 2004, Proceedings. 10th IEEE International Workshop on Future Trends of Distributed Computing Systems, 2004. FTDCS 2004..

[2]  Dieter Gollmann,et al.  Computer Security , 1979, Lecture Notes in Computer Science.

[3]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .