Intrusion detection based on organizational coevolutionary fuzzy classifiers

Authors:
Liu Fang;Chen Zhen-guo
Affiliations:
School of Computer Science and Technology, Xidian University, Xi'an, China;School of Computer Science and Technology, Xidian University, Xi'an, China
Venue:
Intelligent information processing II
Year:
2004

Citing 2
Cited 1

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ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Intrusion detection using sequences of system calls

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Intrusion detection based on clustering organizational co-evolutionary classification

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery

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Abstract

To solve the intrusion detection question, we introduce the fuzzy logic into Organization CoEvolutionary algorithm[1] and present the algorithm of Organization CoEvolutionary Fuzzy Classification (OCEFC). In this paper, we give an intrusion detection models based on OCEFC. After illustrating our model and applying it to the real-world network datasets KDD Cup 1999, we obtain the better performance than other traditional methods.