摘要
为实现快速有效的P2P流量识别,提出一种基于节点连接度的识别方法。根据不同P2P流量的连接度特点,通过实验分析得到相关的流量属性,对属性进行关联,由此区分网络中的P2P流量及非P2P流量,并通过分析P2P下载与P2P流媒体的行为特性,证明P2P下载的流量属性具有相似性,与P2P流媒体的流量属性相差较大。仿真实验结果证明,该方法具有较好的实时性和准确性。
This paper proposes an identification method which can achieve traffic identification with great efficiency and speed based on connectivity degree of nodes. P2P traffic is distinguished from non-P2P traffic in network by associating the attributes of the two kinds of traffic which are obtained by analyzing the experimental results according to connectivity degree features of different P2P traffic. The facts that traffic attributes of P2P downloading are similar and traffic attributes of P2P downloading are different from traffic attributes of P2P streaming media are proved by analyzing the behavioral properties of P2P downloading and P2P streaming media. Experimental results show that the proposed method has good performance in instantaneity and accuracy.
出处
《计算机工程》
CAS
CSCD
2012年第21期119-122,共4页
Computer Engineering
基金
国家自然科学基金资助项目(60902021
60932005
61171109)
关键词
P2P网络
连接度
度分布
复杂网络
流量识别
流量属性
P2P network
link degree
degree distribution
complex network
traffic identification
traffic attribute