A Study of the Evolving Fuzzy Rule-Based Classifier in Intrusion Detection
Dongmei Yu · Computer Engineering and Science · 2009
Intrusion detection techniques become increasingly important in the area of network security. It is a novel attempt that various soft computing approaches are applied to the intrusion detection field. This paper combines the fuzzy data mining technology and genetic algorithms,describes a fuzzy genetic-based learning algorithm,constructs a fuzzy rule classifier and discusses its usage to further detect intrusion in a computer network. Experimental results indicate the efficiency of the algorithm.