计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 270-273.doi: 10.11896/j.issn.1002-137X.2017.6A.062
石志凯,朱国胜
SHI Zhi-kai and ZHU Guo-sheng
摘要： 目前移动数据流量已占全球IP流量的47%,其中WiFi流量已占整个移动数据流量的90%以上。WiFi环境下移动终端流量的识别对互联网流量管理具有重要意义。传统基于HTTP用户代理(User Agent,UA)的流量识别方法存在识别率不高的问题。分析了WiFi环境下移动终端连接持续时间、数据包大小、有效载荷大小等流量特征,提出一种WiFi环境下基于C4.5决策树的手持终端设备流量识别方法WF-C4.5,通过计算各属性值的信息增益率构建决策树模型,实现手持终端与非手持终端流量的区分。实验表明,相比UA方法65%的准确率,所提方法的准确率高达95%。
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