Reduction on false positive rate of anomaly IDS
一种异常入侵检测系统误报率抑制方法

The reduction on the false positive rate of intrusion detection systems (IDS) is one of the important ways to improve detection creditability. After analyzing false positive rate of anomaly IDS, presented methods to reduce the false positive rate. The method was constructing normal profile dynamically based on artificial immunity to restrain false positive rate. At the same time, the dynamical model and evolution of self, Ag were constructed then simulation experiment was done. The results show that the method can reduce the false positive rate efficiently.