Traffic classification on the fly

被引：365

作者：

Bernaille, Laurent ^{[1
]}

Teixeira, Renata

Akodkenou, Ismael

Soule, Augustin

Salamatian, Kave

机构：

[1] Univ Paris 06, LIP6, F-75252 Paris 05, France

[2] Thomson Paris Lab, Paris, France

来源：

ACM SIGCOMM COMPUTER COMMUNICATION REVIEW | 2006年 / 36卷 / 02期

关键词：

measurement; algorithms; management; traffic classification; applications; machine learning;

D O I：

10.1145/1129582.1129589

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The early detection of applications associated with TCP flows is an essential step for network security and traffic engineering. The classic way to identify flows, i.e. looking at port numbers, is not effective anymore. On the other hand, state-of-the-art techniques cannot determine the application before the end of the TCP flow. In this editorial, we propose a technique that relies on the observation of the first five packets of a TCP connection to identify the application. This result opens a range of new possibilities for online traffic classification.

引用

页码：23 / 26

页数：4