Application of Fuzzy Classify Identification in Intrusion Detection
Min Fang · Jisuanji gongcheng · 2005
This paper proposes one approach for intrusion detection based on fuzzy classifiers and evolutionary programming.In computer network,it’s hard to define the boundaries of various kinds of attacks,how to reduce the false alarm rate is a mean problem,by fuzzy logic,a set of fuzzy rules can be used to define various kinds of attacks to reduce the false alarm rate.At the same time,this approach builds rules atomically,which makes the system more flexible and independent on local network.Finally the paper exhibits some result of fuzzy classifiers in intrusion detection.