一种基于损失函数的SVM算法在P2P流量检测中的应用

P2P流量逐渐成为互联网流量的重要组成部分,但在对Internet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.

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

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.