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A Fuzzy Data Mining Based Intrusion Detection Model
Suzhou, China May 26-May 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FTDCS.2004.131661310th IEEE International Workshop on F ...
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Hai Jin, Huazhong University of Science and Technology
Jianhua Sun, Huazhong University of Science and Technology
Hao Chen, Huazhong University of Science and Technology
Zongfen Han, Huazhong University of Science and Technology
With the information increases explosively, 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 security system and build a fuzzy data mining based intrusion detection model. Through normalizing the data set and building fuzzy similar matrix of the network connections in the data set, network connections are clustered into different classes.
Citation:
Hai Jin, Jianhua Sun, Hao Chen, Zongfen Han, "A Fuzzy Data Mining Based Intrusion Detection Model," ftdcs, pp.191-197, 10th IEEE International Workshop on Future Trends of Distributed Computing Systems (FTDCS'04), 2004
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