Detecting traffic anomalies at application layer in metro area network
城域网应用层流量异常检测与分析*

This paper constructed a traffic data matrix with the application layer metrics provided by the measurement system developed by ourselves. Applied wavelet analysis to deal with the noise of raw data, and then used PCA method to model the traffic. Experiments show that traffic anomalies can be effectively monitored with SPE statistic, and the main causes of the anomalies can be found out with contribution plot of SPE statistic.