Research of Intelligent Rule-base Based on Multilayer Intrusion Detection

This paper presents a method to establish a rulebase based on multilayer intrusion detection. This rulebase contains two parts: the rulebase based on IP layer intrusion detection and the rulebase based on application layer intrusion detection. The former adopts a mixed quadratic network statistical model to test network traffic which has performances of dynamic principle and low False Positive Probability (FPP) and low False Negative Probability (FNP), and the rulebase is established using the twice-aggregation method. The latter is established by improved Snort. The simulation has proved that this intelligent rulebase can improve detection rate and ability to a large degree, and has low FPP and FNP.