Adaptive Intrusion Detection Based on Immune and Fuzzy Logic
Xue Yong-sheng · Journal of Xiamen University · 2007
With the change of internet intrusion method and the calculate environment,it appears more and more difficult to detect the intrusion.This paper describes an adaptive intrusion detection model based on immune and fuzzy logic.The model creates respectively the rule collection of natural behavior mode and inspecting behavior mode.Whether or not the intrusion is happened can be judged by the difference between the two rule collections.Besides,the model updates rules automatically and constantly to improve the ability of detecting new type intrusions.Experiment results indicate that the model has good efficiency in identifying the abnormal intrusion.