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A fuzzy data mining based intrusion detection model

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4 Author(s)
Hai Jin ; Cluster & Grid Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Jianhua Sun ; Hao Chen ; Zongfen Han

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.

Published in:

Distributed Computing Systems, 2004. FTDCS 2004. Proceedings. 10th IEEE International Workshop on Future Trends of

Date of Conference:

26-28 May 2004

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