Title :
A fuzzy data mining based intrusion detection model
Author :
Jin, Hai ; Sun, Jianhua ; Chen, Hao ; Han, Zongfen
Author_Institution :
Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
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.
Keywords :
data mining; data warehouses; fuzzy set theory; security of data; data set normalization; data warehouse; fuzzy data mining; fuzzy similar matrix; intrusion detection model; network connections; security system; Data mining; Data security; Fuzzy logic; Fuzzy sets; Fuzzy systems; Grid computing; Information security; Intrusion detection; Neural networks; Sun;
Conference_Titel :
Distributed Computing Systems, 2004. FTDCS 2004. Proceedings. 10th IEEE International Workshop on Future Trends of
Print_ISBN :
0-7695-2118-5
DOI :
10.1109/FTDCS.2004.1316613
