A Novel P2P Traffic Identification Algorithm Based on BPSO and Weighted KNN

被引：0

作者：

Du Min ^{[1
]}

Chen Xingshu ^{[1
]}

Tan Jun ^{[1
]}

机构：

[1] Sichuan Univ, Coll Comp Sci, Chengdu 610065, Peoples R China

来源：

CHINA COMMUNICATIONS | 2011年 / 8卷 / 02期

关键词：

traffic identification; BPSO; feature selection; feature weighting;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Peer-to-Peer technology is one of the most popular techniques nowadays, and it brings some security issues, so the recognition and management of P2P applications on the interne is becoming much more important. The selection of protocol features is significant to the problem of P2P traffic identification. To overcome the shortcomings of current methods, a new P2P traffic identification algorithm is proposed in this paper. First of all, a detailed statistics of traffic flows on interne is calculated. Secondly, the best feature subset is chosen by binary particle swarm optimization. Finally, every feature in the subset is given a proper weight. In this paper, TCP flows and UDP flows each have a respective feature space, for this is advantageous to traffic identification. The experimental results show that this algorithm could choose the best feature subset effectively, and the identification accuracy is improved by the method of feature weighting.

引用

页码：52 / 58

页数：7

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