| 基于神经网络的P2P流量识别方法 |
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| 引用本文： | 李明,贾波.基于神经网络的P2P流量识别方法[J].杭州电子科技大学学报,2011(4):152-156. |
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| 作者姓名： | 李明 贾波 |
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| 作者单位： | 浙江工商大学信息与电子工程学院; |
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| 摘 要： | 利用小波神经网络实时学习和快速识别的优点,该文提出一种统计特征和小波神经网络相结合的P2P流量识别方法.在实际网络环境下,通过建立网络分类模型,统计分析并提取多种流量特性,通过小波神经网络对各种P2P应用流量特征的学习和识别,提高了P2P流量识别的准确度,改善了之前单一识别方法的复杂度.
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| 关 键 词： | 统计学习 神经网络 流量识别 |
P2P Traffic Identification Based on Neural Network |
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| LI Ming,JIA Bo.P2P Traffic Identification Based on Neural Network[J].Journal of Hangzhou Dianzi University,2011(4):152-156. |
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| Authors: | LI Ming JIA Bo |
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| Affiliation: | LI Ming,JIA Bo(School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | Real-time using neural network to quickly identify the advantages of learning and presents a wavelet neural network and statistical characteristics of the combination of P2P traffic identification method.In real network environment,through the establishment of the network classification model,statistical analysis and extract a variety of flow characteristics,the wavelet neural network P2P application traffic characteristics of various learning and recognition,improve the accuracy of P2P traffic identificati... |
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| Keywords: | statistical learning neural network traffic identification |
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