|国家预印本平台
首页|基于FP-Growth算法的P2P业务流量特征自动识别机制

基于FP-Growth算法的P2P业务流量特征自动识别机制

n Automatic P2P Traffic Characteristics Identification Mechanism based on FP-Growth Algorithm

中文摘要英文摘要

本文提出一种基于FP-Growth算法的P2P业务流量特征自动识别机制,该机制将流量特征识别设计为一种正反馈结构,在识别过程中强化并扩展了流量特征,并通过构建流量数据的FP-Tree提高了特征识别的时间效率并获得了较高的识别准确率。实验对比了Aprioi算法和FP-Growth算法的效率,对本文提出的机制的准确度和效率进行了验证。

n Automatic P2P Traffic Charateristics Identification Mechanism based on FP-Growth Algorithm is proposed in this paper.The mechanism is designed to identify the traffic characteristics in a structure of positive feedback. During the identification process, the traffic characteristics will be strengthened and expanded. By building the FP-Tree the efficiency and the accuracy of identification is imporved. This paper also compares the efficience of Aprioi Algorithm and FP-Growth Algorithm in traffic characteristics identification and certificates the accuracy and the efficiency of the mechanism proposed in this paper.

何刚、李娜

通信

深度报文检测流量特征识别P2P业务

eep Packet InspectionTraffic Characteristics IdentificationP2P

何刚,李娜.基于FP-Growth算法的P2P业务流量特征自动识别机制[EB/OL].(2011-09-29)[2025-08-03].http://www.paper.edu.cn/releasepaper/content/201109-375.点此复制

评论