Intrusion Detection Based on the Fusion of Multiple Features
Liu Feng-yu · Jisuanji gongcheng · 2004
In this paper, a pattern recognition approach to network intrusion detection based on the fusion of features is proposed, which matches with the process by which human distinguish objects. Feature rules which is consist of feature elements and uncertainty reasoning based on measure of belief are introduced to make the decision of ID. The pattern forming and the model of such an approach are outlined.