A Behavior-Based Rapid Method for P2P Traffic Identification
This paper presents a rapid identification model and analyses the behavioral characteristics which is different from non-P2P applications on link pattern through analysis on three P2P applications. This method classifies P2P applications in the background and improves the recognition efficiency thro...
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| Veröffentlicht in: | Applied Mechanics and Materials 2013-08, Vol.380-384, p.3661-3666 |
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| container_title | Applied Mechanics and Materials |
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| creator | Zhao, Ming Fang, Yi Qiu Ge, Jun Wei |
| description | This paper presents a rapid identification model and analyses the behavioral characteristics which is different from non-P2P applications on link pattern through analysis on three P2P applications. This method classifies P2P applications in the background and improves the recognition efficiency through the effective combination of behavioral characteristics and valid flows filter on the premise of maintaining the recognition accuracy. In the packet processing, matching frequency parameter has been using to increase matching efficiency. The experimental results show that P2P traffic can be effectively identified by this method. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.380-384.3661 |
| format | Article |
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| title | A Behavior-Based Rapid Method for P2P Traffic Identification |
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