Intrusion detection method based on fuzzy cluster analysis
Liang Liang · Systems engineering and electronics · 2006
A fuzzy cluster algorithm(FCM) based data processing method for intrusion detection is introduced and some changes for the data characteristic are made.The experimental results show that the method is effective to differentiate the normal process and the intrusion process correctly in some degree.It also has the merits of faster computation and less resource utilization.The concise classification rules are derived with this new method.Because of the special treatment of the isolated points in the data and easy renewal or supplemmet of the classification rule set,this detection method has a strong extensibility.Simulation results illustrate that this algorithm is very efficient.