A SVM Method for P2P Traffic Identification based on Multiple Traffic Mode
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| Title | A SVM Method for P2P Traffic Identification based on Multiple Traffic Mode |
| Authors | |
| Abstract | Support Vector Machines (SVM) algorithms are one of the algorithms currently applied in Deep Traffic Inspection (DFI) technologies. This paper realizes online real-time traffic information detection, provides a P2P traffic identification system that supports online SVM analysis and offline SVM training function, and demonstrates the thinking of different identification for IP data traffic and IP-Port data traffic. This paper designs different combinations of traffic features for IP data traffic and IP-Port data traffic, analyzes the effectiveness and exactness of these combinations from various function criteria, and based on a lot of experiments, obtains a best SVM kernel function and a combination of parameters that matches the very combination of traffic features. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-11-01 |
| Source | Journal of Networks Vol 5, No 11 (2010): Special Issue: All-Optically Routed Networks |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |