| 基于支持向量机的P2P流量管理模型设计 |
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| 引用本文： | 杜经纬.基于支持向量机的P2P流量管理模型设计[J].吉首大学学报(自然科学版),2015,36(4):26-29. |
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| 作者姓名： | 杜经纬 |
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| 作者单位： | （运城学院计算机科学与技术系，山西 运城 044000） |
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| 基金项目： | 山西省自然科学基金资助项目 |
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| 摘 要： | 对P2P的网络流量进行识别是P2P研究领域中的一个重大难题,为了实现对其管理,提出了一种基于支持向量机(SVM)的P2P流量分类管理模型.首先获取P2P网络流量数据,然后将获取的样本数据输入SVM并对SVM进行训练,最后将测试样本数据输入SVM进行P2P流量分类管理.仿真实验证明了该方法具有较高的检测率和较低的漏报率.
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| 关 键 词： | 支持向量机 流量 P2P 训练 |
Design of P2P Traffic Management Model Based on SVM |
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| DU Jingwei.Design of P2P Traffic Management Model Based on SVM[J].Journal of Jishou University(Natural Science Edition),2015,36(4):26-29. |
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| Authors: | DU Jingwei |
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| Institution: | (Department of Computer Science and Technology,Yuncheng University,Yuncheng 044000,Shanxi China) |
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| Abstract: | Network traffic recognition of P2P is one of the significant problems in P2P research.A classification management model based on SVM for P2P is thus proposed for its management.Firstly,the data is obtained from P2P network traffic;then the obtained sample data is input to the SVM for training；finally,the test sample is input to the SVM to realize its classification.The simulation experiment shows the method in this paper has the high detection rate and low false negative rate. |
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| Keywords: | support vector machine traffic P2P training |
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