Fast Traffic Classification in High Speed Networks

摘要：

A novel approach for fast traffic classification in the high speed networks is proposed,which bases on the protocol behavior statistical features.The frame lengths,arrival times and direction of packets are collected from the real data flows.Comparing the features of the unknown flow with the protocol masks,we can judge which application protocol this flow belongs to.Distinct from other statistic methods,we use the universal flow-based inter-arrival time to overcome the influence of RTT variance so that a set of excellent protocol masks is site-independent and time-independent.Because there is no need for character string searching and complex algorithms,the proposed approach can be easily deployed in the hardware of high speed network equipments.

关键词： Communication system traffic measurement system data handling networks protocol.

作者: Rentao Gu Minhuo Hong Hongxiang Wang Yuefeng Ji

作者单位: Key Laboratory of Optical Communication and Lightwave Technologies Beijing University of Posts and Telecommunications Haidian District,Beijing 100876,China

会议类型: 国际会议

会议名称: 11th Asia-Pacific Network Operations and Management Symposium(APNOMS 2008)(第十一届亚太网络运行和管理国际研讨会)

会议地点: 北京

会议语种:英文

页码: 429-432

在线出版日期: 2008-10-22（万方平台首次上网日期，不代表论文的发表时间）