Research of the Network Intrusion Detection Based on Fuzzy Clustering
Yang De · 2005
The intrusion detection become the second floor defense line of the network security. Analyze to the char- acteristic of the intrusion detection technique for newly and unknown attack,and brings forward algorithm of Network Intrusion Detection based on Fuzzy C-means Clustering. The result of simulations run on the KDD-99 datasets show the feasible,efficient and extensible for unknown intrusion detection,and increase detection rate of the clustering de- tection and decrease the false alarms rate.