| 摘要: |
| P2P 流量的迅猛增长加剧了网络拥塞状况,P2P 流量识别为网络管理提供了基本的技术支持.首先介绍了P2P 流量的类别及流量识别面临的主要困难,然后综述了P2P 流量识别的主要技术及研究进展,最后给出下一步的主要研究方向. |
| 关键词: 对等网络 端口识别 深层数据包检测 机器学习 网络行为 |
| DOI：10.3724/SP.J.1001.2011.03995 |
| 分类号: |
| 基金项目:国家自然科学基金(60903166); 国家重点基础研究发展计划(973)(2007CB311101); 国家高技术研究发展计划(863)(2010AA012504); 新世纪优秀人才支持计划(NCET-07-0245) |
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| P2P Traffic Identification |
|
LU Gang1,2, ZHANG Hong-Li1,2, YE Lin1,2
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1.School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China;2.State Key Laboratory of Computer Information Content Security, Harbin Institute of Technology, Harbin 150001, China
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| Abstract: |
| The rapid increase of P2P traffic worsens the congestion of network while P2P traffic identification becomes the basic technical support for network management. The types of P2P traffic and main challenges of traffic identification are introduced first. Next, the main techniques and research progresses of P2P traffic identification are summarized. Finally, the future trend is put forward. |
| Key words: peer-to-peer (P2P) network port identification deep packet inspection machine learning network behavior |
