Monitoring SIP Traffic Using Statistical Approaches

To monitor Session Initiation protocol (SIP) traffic effectively, a statistical approaches-based traffic monitoring solution is proposed in this paper. According to the process of SIP session, Chi-square statistic is used for monitoring the anomaly of SIP traffic. It classifies the anomaly reason using entropy theory. SIP packets are captured utilizing the kernel SIP packet filtering technology. Experimental result shows that this solution of SIP traffic monitoring is feasible and effective.