A fuzzy data mining based intrusion detection model
Hai Jin, Jianhua Sun, Hao Chen, Zongfen Han · 2004
With explosively increasing information, data mining techniques are frequently employed to identify trends in the warehouse that may not be readily apparent. In this paper we apply fuzzy data mining techniques to a security system and build a fuzzy data mining based intrusion detection model. Through normalizing the data set and building a fuzzy similar matrix of the network connections in the data set, network connections are clustered into different classes.