[1]刘悦 郭拯危.基于小波支持向量机的P2P网络流量识别算法[J].计算机技术与发展,2010,(10):107-110.
　LIU Yue,GUO Zheng-wei.Algorithm for P2P Network Traffic Identification Based on Wavelet SVM[J].,2010,(10):107-110.
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基于小波支持向量机的P2P网络流量识别算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年10期
页码:
107-110
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Algorithm for P2P Network Traffic Identification Based on Wavelet SVM
文章编号:
1673-629X（2010）10-0107-04
作者:
刘悦 郭拯危
河南大学计算机与信息工程学院
Author(s):
LIU Yue; GUO Zheng-wei
Computer Science and Technology College,Henan University
关键词:
支持向量机; 小波; P2P; 网络流量
Keywords:
SVM;  wavelet;  P2P;  network traffic
分类号:
TP393
文献标志码:
A
摘要:
对等网络技术引起了广泛关注,其典型的应用有文件共享、即时通信等。为了更好地合理使用、规划P2P网络资源,建立P2P流量识别模型具有十分重要的理论意义和现实价值。提出了一种基于小波支持向量机相结合的P2P流量识别模型,将小波分析中多尺度的学习方法和SVM的优点结合起来,通过小波分析与SVM方法紧致结合,引入满足小波构架和Mercer定理的小波基函数来构造SVM的核函数,建立小波支持向量机的P2P识别算法。实验结果表明该算法能够有效地提高P2P网络流量识别的精度
Abstract:
Recently,there has been a growing interest in the potential use of peer to peer computing in many applications such as file sharing,instant communication.Therefore,to realize their potential,there is a need of a P2P traffic identification algorithm that facilities the deployment of a network traffic that is optimized in terms of network bandwith.Focuses on developing a novel P2P traffic prediction using wavelet support vector machine.Through the wavelet analysis combined with the SVM method of compact,introduced to meet the wavelet framework and Mercer theorem to construct the wavelet function SVM kernel function,wavelet support vector machines to establish P2P identification algorithm.Experimental results show that the algorithm can effectively improve the accuracy of P2P network traffic identification

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备注/Memo

备注/Memo:
刘悦（1977-）,男,河南开封人,助理工程师,硕士研究生,研究方向为P2P网络、网络流量. 郭拯危,教授,研究方向为计算机网络、信息安全
更新日期/Last Update: 1900-01-01