A preliminary investigation of skype traffic classification using a minimalist feature set

被引：12

作者：

Angevine, Duffy ^{[1
]}

Zincir-Heywood, A. Nur ^{[1
]}

机构：

[1] Dalhousie Univ, Fac Comp Sci, Halifax, NS, Canada

来源：

ARES 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON AVAILABILITY, SECURITY AND RELIABILITY | 2008年

关键词：

D O I：

10.1109/ARES.2008.158

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, AdaBoost and C4.5, are employed for classifying Skype direct (UDP and TCP) communications from traffic log files. Pre-processing is applied to the traffic data to express it as flows, which is later converted into a descriptive feature set. The aforementioned algorithms are then evaluated on this feature set. Results show that a 98% detection rate with 6% false positive rate for UDP based Skype and a 94% detection rate with 4% false positive rate for TCP based Skype is possible to achieve.

引用

页码：1075 / 1079

页数：5