INTERNET TRAFFIC IDENTIFICATION BASED ON COMMUNITY DETECTION BY LABEL PROPAGATION

摘要：

　　The increased capacity and availability of Internet has led to the prosperity of applications.Internet traffic characterization and identification is important for network management.In this paper,based on detailed flow data collected from the public network of Internet Service Provider,the flow graph is constructed to model the interactions among users.Considering traffic from different applications,community structure of the flow graph is analyzed.The near linear time community detection algorithm in complex networks,the label propagation algorithm (LPA) is extended to the flow graph for traffic identification.Experimental results show that the proposed algorithm works well in accuracy and efficiency.

关键词： Traffic analysis Application identification Complex network Community detection Label propagation

作者: Ke Yu Xinyu Zhang Jiaxi Di Xiaofei Wu

作者单位: Advanced Network Technology Lab,School of Information and Communication Engineering Beijing University of Posts and Telecommunications,Beijing 100876,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 1015-1020

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）