The experiment results indicate that BCCIA can classify and identify P2P flow perfectly.
实验数据表明，采用BCCIA算法，可以很好地实现分类和标识p2p流。
This paper presents a P2P flow identification algorithm based on behavior characteristic characterization (BCCIA).
提出了一种基于行为特征描述的P2P流识别算法（BCCIA）。
The Bayesian classification technique which is relatively more mature in field of fuzzy recognition is applied to the detection technique of P2P deep flow inspection.
P2P应用软件检测技术主要是深度包检测法和深度流量检测法。
The existing P2P network flow identification methods are analyzed in this paper.
本文分析了目前的P 2 P网络流量识别方法及其存在的问题。
By analyzing packets of the transport layer and the traffic characteristic in the P2P system, TLI can identify whether or not the network data flow belongs to the P2P system.
TLI通过对传输层数据包进行分析并结合P 2 P系统所表现出来的流量特征，来识别某个网络流是否属于P 2 P。
Traditional P2P traffic identification methods are based on port identification, or deep packet inspection technology, or based on identifying technology of flow characteristics.
传统的P 2 P流量识别方法主要有基于端口的识别方法、深层数据包检测技术、基于流特征的识别技术等。
Traditional P2P traffic identification methods are based on port identification, or deep packet inspection technology, or based on identifying technology of flow characteristics.
传统的P 2 P流量识别方法主要有基于端口的识别方法、深层数据包检测技术、基于流特征的识别技术等。
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