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.
Session Initiation Protocol Chi-square statistic Entropy Traffic monitoring
Cao Hui Hou Hui Chao
College of Information Science and Engineering,Shenyang University,Shenyang,110044,China. Shenyang Institute of Computing Technology Chinese Academy of Science,Shenyang,110171,China.
国际会议
沈阳
英文
1585-1588
2012-09-26(万方平台首次上网日期,不代表论文的发表时间)