Correlation analysis of traffic alert information on backbone network

This paper proposed a correlation method based on traffic alert information. Firstly, the method extracted some traffic feature signals made of relatively coarse-grained traffic features, analyzed these signals, and got anomaly-related alert information; then, it correlated the alert information using Apriori algorithm, and got correlation rules related to anomalies and alert information. Analysis of real network data shows that the rules can effectively identify anomalies in backbone network.