Anomaly Traffic Detection Model Based on Dynamic Aggregation
Zhixin Sun, Jin Hong Gong · 2010
Integrated with the ideas of aggregation and network model, this paper presented an anomaly detection model based on DAATDM, i.e. the dynamic and aggregate anomaly detection model. Besides, it established an anomaly traffic detection system based on DAATDM. DAATDM not only analyzed the aggregation of network parameters but also built a weighted statistical model for aggregate parameters which can be set dynamically. DAATDM can adjust its dependency on network parameters so as to enhance the flexibility of anomaly detection and identify attack features.