FHNN Resampling Method for Network Intrusion Detection
Wei Lv · Jisuanji gongcheng · 2011
To improve the data processing speed of intrusion detection system and reduce the data imbalance,this paper presents a Fast Hierarchical Nearest Neighbor(FHNN) resampling method by analyzing existing resampling methods commonly and according to the characteristics of network intrusion detection datasets.The novel algorithm experiments with KDD'99 datasets.Experimental results show that this method is efficient in tacking noise and majority class examples.It is a rapid and effective method for detecting many types of threats from massive audit data.