基于C4.5决策树的VoIP实时检测系统  

Real-time VoIP monitoring system based on C4.5 decision tree

作　　者：张致远 刘建明 陈振舜 ZHANG Zhiyuan;LIU Jianming;CHEN Zhenshun(School of Computer and Information Security,Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]桂林电子科技大学计算机与信息安全学院,广西桂林541004

出　　处：《桂林电子科技大学学报》2018年第6期453-458,共6页Journal of Guilin University of Electronic Technology

基　　金：国家自然科学基金(61262074)

摘　　要：针对VoIP应用程序实时检测困难的问题,提出基于C4.5决策树的VoIP实时检测系统。采用按时间平均分流的规则进行特征提取,通过基于C4.5决策树算法建立的分类模型和基于Jpcap库的实时抓包检测机制,设计并实现了识别精度高、实时性强的VoIP流量检测系统。实验结果表明,在保证精度和实时性的前提下,该系统能够识别超过一种VoIP应用程序,识别时间仅需115ms,精度超过93%。Aiming at the difficulty of real-time detection of VoIP applications, feature extraction is performed using a time-averaged shunting rule, a classification model based on C4.5 decision tree algorithm, and a real-time packet capture detection mechanism based on Jpcap library are used to design and implement the recognition. High-precision, real-time VoIP traffic detection system. Experimental results show that under the premise of accuracy and real-time performance, the system can identify more than one kind of VoIP application program, the identification time is only 115 ms, and the accuracy is over 93%.

关 键 词：VOIP 分流规则 实时检测 C4.5算法 Jpcap库 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]