CAJ | 학술논문

近年来互联网技术飞速发展，实时通讯类应用的种类不断增加，这使得合理有效的管理网络流量面临着巨大的挑战。文章首先对VoIP这类网络流量使用的相关协议做了概述，然后分析了传统的流量识别方法，在此基础上，对于UDP流量或者加密流量提出基于传输层的识别机制，并且将朴素贝叶斯分类算法应用于对VoIP流量的识别，通过给出一个部署方案，对几个VoIP应用进行了验证。实验结果表明，朴素贝叶斯算法应用于VoIP流量分类可以取得很好的识别效果。最后针对朴素贝叶斯算法的属性独立性的约束，提出了该算法仍需要改进的地方。
근년래호련망기술비속발전，실시통신류응용적충류불단증가，저사득합리유효적관리망락류량면림착거대적도전。문장수선대VoIP저류망락류량사용적상관협의주료개술，연후분석료전통적류량식별방법，재차기출상，대우UDP류량혹자가밀류량제출기우전수층적식별궤제，병차장박소패협사분류산법응용우대VoIP류량적식별，통과급출일개부서방안，대궤개VoIP응용진행료험증。실험결과표명，박소패협사산법응용우VoIP류량분류가이취득흔호적식별효과。최후침대박소패협사산법적속성독립성적약속，제출료해산법잉수요개진적지방。
With the development of Internet technology and the surge for the number of real-time communications applications, to effectively manage network traffic has been faced with new challenges.The article ifrst outlines protocols associated with VoIP network trafifc.Then on the basis of analyzing the methods for traditional traffic identification, it proposes an recognition mechanism based on transport layer for UDP trafifc or encrypted trafifc.And the article applies the naive Bayesian classifier algorithm to identification of VoIP traffic. Finally, it gives a deployment to verify several VoIP applications. Experimental results show that naive Bayesian algorithm is applied effectively to classiifcation for VoIP trafifc. At the end of the article,it describes that the algorithm still needs to be improvemented because of properties independence.