Detection of Network Traffic Anomaly Based on Instantaneous Parameters Analysis
Yao Xingmiao, Peng Zhang, Jie Gao, Guangmin Hu · 2006
Identifying network traffic anomalies accurately and rapidly is critical to the efficient operation of any network. In this paper, a new algorithm is proposed based on instantaneous parameters (instantaneous frequency and Instantaneous amplitude) analysis. The characteristic of traffic anomaly would be revealed more evidently through analyzing the instantaneous parameters of the original network flow data. The simulation shows that the proposed algorithm can identify network traffic anomaly effectively.