Method of Network Intrusion Detection Based on Fuzzy SOFM
Yurong Hu · Jisuanji gongcheng · 2008
Considering current intrusion detection system with high misinformation rate and low detection rate,this paper applies fuzzy Self-Organizing Feature Map(SOFM) neural network to intrusion detection. After being trained,the fuzzy SOFM network can become a stable nerve network system and identify a network normal and abnormal behavior effectively. Experimental results show that using the KDD99 databases,intrusion detection rate is more than 92% when the misinformation rate is below 3%.