Intrusion detection based on improvement of genetic fuzzy C-means algorithm

Abstract

To cluster analysis technology in the Intrusion Detection System as the focus, for fuzzy C means cluster algorithm in the cluster analysis on the importation of more sensitive, and the optimal solution of the search is a local search of the shortcomings, a modified Fuzzy C-means algorithm. To improve the fuzzy C means algorithm on the basis of the introduction of genetic algorithm, hope that through genetic algorithm global search capability and the initial impact of the characteristics of small, to make up for the lack of FCM algorithm, and the mixed method used in the invasion Detection analysis. Simulation verify the validity of this mixed algorithm. © 2012 Springer-Verlag.