Traffic Anomaly Detection and Prediction Based on SDN-Enabled ICN
Fan Yang, Yun Dou Jiang, Tian Gong Pan, E Xinhua · 2018
With the rapid development of Information-centric networking, a multifunctional traffic monitoring system that can be applied in operable ICN network is imminent. Based on the L-EWMA algorithm, this paper designs a complete SDN-enabled ICN network monitoring system that achieves the network anomaly detection in real time and automatically judges the abnormal type according to the characteristics of abnormal traffic scenes. Compared with other anomaly traffic detection algorithms, this system adds the functions of abnormal traffic location and prediction analysis and uses the SDN-enabled ICN controller to analyze all network information. Therefore, mastering all aspects of abnormal traffic situation and making an accurate judgment become reality.