Intrusion Detection System Based on Fuzzy Choose-Closed Principle

Network intrusion detection need to consider a variety of factors which are fuzzy. At present, it is a difficult problem for intrusion detection system (IDS) to distinguish normal state from abnormal one exactly. To solve the problem, an intrusion detection model based on fuzzy choose-closed principle is presented. Applying theory of fuzzy set to process network intrusion parameters can distinguish normal state from abnormal state in the most extent. It can improve the correct detection rate and reduce the rate of omission, so it enhances the accuracy of intrusion detection. Experiments proved the feasibility of the approach.