Research Based on a Method of FRS-FCM Ensemble Intrusion Detection
Yongzhong Li, Xingdi Li, Yang Li, Weiqun Zhang · 2012
Traditional FCM algorithm is too dependent on initial distance and Euclidean distance is only applied to handle the dataset of numeric and spatial data structure for the super-ball.Based on fuzzy rough sets and ReliefF technology,the author proposed a fuzzy rough set based clustering algorithm(FRS-FCM),and used it to integrated intrusion detection.By effective clustering and integrated learning,the algorithm can improve the detection rate and reduce the false detection rate,improve the detection rate of low-frequency attacks.Finally,simulation experiments using KDD Cup 99 data set verify feasibility and effectiveness of the algorithm.