An Adaptive Invasion Detection Based on the Variable Fuzzy Set
Liangxun Shuo, Zhao Jinhui, Wang Xuehui · 2011
In order to overcome the widespread issues on high rate of false alarm, low rate of detection and less suitability in system of detection intrusion, based on the variable fuzzy set, a dynamic model with self-adaptive ability and efficient detection on intrusion is proposed in the paper. In the pretreatment layer, the feature with light-computation and the efficient integrated mechanism are employed to improve the degree of differentiation. In the detection layer an integration of multi-characteristics on the network traffic was adopted to improve the accuracy and reliability of decision with the variable fuzzy set. Furthermore, a self-adaptive mechanism is introduced to ensure the accuracy of detection in the dynamic networks. Experiments indicate that proposed model is more scientific and more accurate, and valuable to generalization and application.