| 基于统计特征的P2P流量检测方法 |
| |
| 引用本文： | 李鑫,刘东林.基于统计特征的P2P流量检测方法[J].计算机工程,2010,36(5):114-115. |
| |
| 作者姓名： | 李鑫 刘东林 |
| |
| 作者单位： | 华东理工大学信息科学与工程学院,上海,200237 |
| |
| 摘 要： | 针对传统的流量检测方法在应对P2P流量时不够准确和高效的问题，分析P2P协议的TCP/IP协议栈，提出一种新的基于统计特征的P2P流量检测方法，结合神经网络对P2P流量进行识别。实验结果表明，该方法能有效、准确地判断网络数据流是否为P2P类别。
|
| 关 键 词： | P2P网络 协议栈 统计特征 神经网络 |
| 修稿时间： | |
P2P Traffic Detection Method Based on Statistical Characteristic |
| |
| LI Xin,LIU Dong-lin.P2P Traffic Detection Method Based on Statistical Characteristic[J].Computer Engineering,2010,36(5):114-115. |
| |
| Authors: | LI Xin LIU Dong-lin |
| |
| Affiliation: | (College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237) |
| |
| Abstract: | With rapid development of P2P technology and its protocol complexity, traditional P2P traffic identification solution is not accurate and efficient. Aiming at this problem, this paper proposes a solution based on new P2P statistic characteristic and neural network to identify P2P traffic. Experimental results show that this method has proper accuracy on P2P traffic identification. |
| |
| Keywords: | P2P network protocol stack statistic characteristic neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
