计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 76-80.

• 计算机网络与信息安全 • 上一篇    下一篇

一种基于损失函数的SVM算法在P2P流量检测中的应用

吴敏,王汝传   

  1. (南京邮电大学计算机科学学院 南京210003)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受江苏省自然科学基金(BK2008451),国家高科技863项目(2007AA01Z404,2007AA01Z478),南京市高科技项目(2007软资127) ,江苏省博上创新项目(CX08B-086Z)和南京邮电大学青蓝工程项目(NY206034,NY208011)资助。

Risk Function-based SVM Algorithm and its Application in P2P-traffic Detection

WU Min,WANG Ru-chuan   

  • Online:2018-11-16 Published:2018-11-16

摘要: P2P流量逐渐成为互联网流量的重要组成部分,但在对Interne、起巨大推动作用的同时,也带来了因资源过度占用而引起的网络拥塞以及安全隐患等问题,妨碍了网络业务的正常开展。首先介绍了各种P2P流量识别方法及其优缺点,然后提出一种基于损失函数机制的支持向量机算法,用于实时P2P流量检测,并构建了一个基于本算法的检测控制模型。实验结果显示,该算法更符合P2P流量的实际检测要求,具有更好的检测精度。

关键词: 对等网络,流量检测,损失函数,支持向量机

Abstract: P2P traffic has taken great portions in the network traffic. While having a significant impact on the Internet,it brings serious problems such as network congestion and traffic hindrance caused by the excessive occupation in the bandwidth. I}he paper firstly introduced methods in identifying P2P traffic and their characters, then put forwards a Support Vector Machine (SVM) algorithm based on risk function which can be used to identify P2P traffic. Finally, a model was set up to fulfill the identification of P2P traffic. Experimental results show that the method is more suitable for practical recauirements of traffic identification and has a more accurate precision.

Key words: P2P,Traffic identification, Risk function, Support vector machine

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