Intrusion Detection Method Based on Fuzzy Rules
Qiaomei Liu · Computing Technology and Automation · 2008
In this paper,an intrusion detection method based on fuzzy genetics is presented.This method can compete mastered knowledge inheriting by selection operation to former rules,can perform rules mutation operation by resemble degree computation.This method can effectively control rule number and accelerate intrusion detection process with SRPP fitness function,also can produce new rules with mutation.Experimental results demonstrate the proposed method can accelerate the intrusion process,relieve detection load,improve detection rate,decrease false positive and false negative rate.