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基于优化SVM的P2P协议识别

毛灵 陈兴蜀 吴仲光 谭骏 杜敏

计算机应用研究2011,Vol.28Issue(7):2750-2753,4.
计算机应用研究2011,Vol.28Issue(7):2750-2753,4.DOI:10.3969/j.issn.1001-3695.2011.07.099

基于优化SVM的P2P协议识别

Novel P2P protocol identification algorithm based on optimized SVM

毛灵 1陈兴蜀 1吴仲光 1谭骏 1杜敏1

作者信息

  • 1. 四川大学计算机学院,成都610065
  • 折叠

摘要

Abstract

To overcome the shortcomings of P2P application, this paper proposed a new P2P identification algorithm which used DFI deep flow analysis by extracting the various properties of P2P data stream characteristics, using support vector machine which was optimized by Grid Search, generation algorithm and particle swarm optimization to assort the network data streams. Experimental results of the P2P and non-P2P classification show that the classifier by SVM has a high accuracy over 90% , and the highest can be 97%.

关键词

粒子群算法/遗传算法/支持向量机/P2P/协议识别

Key words

PSO/ GA/ SVM/ P2P/ protocol identification

分类

信息技术与安全科学

引用本文复制引用

毛灵,陈兴蜀,吴仲光,谭骏,杜敏..基于优化SVM的P2P协议识别[J].计算机应用研究,2011,28(7):2750-2753,4.

基金项目

国家“973”计划重点基础研究发展资助项目(2007CB311106) (2007CB311106)

国防重点实验室基金资助项目(NEUL20090101) (NEUL20090101)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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