An Intrusion Detection Method Using Data Mining Technology

Data mining can be used in intrusion detection.K-means is an efficient,representative lightweight algorithm which can be used in intrusion detection.However,it has the problem that converges to local optimization.To solve this problem an intrusion detection method called GCAH(Genetic and Clustering Analysis Hybrid) is brought forward.GCAH is a method that combines clustering algorithm with genetic algorithm to analyse data of intrusion detection and solve the problem that converges to local optimization.Testing experiment uses KDD cup data which has lots of network data messages as the input data to prove that GCAH has a high detection rate,low false alarm rate and achieves the goal.