Video Call Traffic Identification based on Bayesian Model

摘要：

　　This paper proposes Bayesian statistical method to identify the video traffic by the symmetrical features and coding statistical characteristics of video calls.According to the problem of high computational complexity of the non-parametric probability density estimate method in the condition of large samples,we propose grid probability density estimation method of gird division to reduce the computational complexity.We present identification results.The experimental results indicate that that this method can effectively detect video call traffic.

关键词： traffic identification VoIP Bayesian probability density

作者: Ying HOU Hai Huang Kai Wang Yu-hang Zhu

作者单位: PLA Information and Engineering University, ZhengZhou CHINA

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Systems Engineering and Modeling(ICSEM-13)(2013年第二届系统工程与建模国际会议)

会议地点: 北京

会议语种:英文

页码: 1071-1075

在线出版日期: 2013-04-19（万方平台首次上网日期，不代表论文的发表时间）