摘要
P2P流量的检测和管控是随着P2P技术应用变化而不断发展的,传统的P2P流量检测技术的局限性越来越明显,导致各种新的P2P流量检测技术成为当前研究热点。首先介绍了传统的P2P流量检测技术以及其存在的缺陷,然后重点提出了用于检测网络层数据包的多尺度分析模型。多尺度分析模型通过提取疑似P2P流量可以缩小P2P流量的检测范围,提高P2P流量的检测效率,提高P2P流量检测效率,并且结合决策树对疑似P2P流量进行协议分析达到有效识别和分类的目的。最后提出了P2P网络流量监管未来的研究方向。
P2P traffic detecting and controlling is a constantly evolving process due to changes in P2P technology application, which brings more and more obvious limitations of P2P traffic detection technology, and the new P2P traffic detecting technologies have been the research focus recently. Firstly, this article describes the traditional detection technology and the defectives, highlightes multi-scale model of network layer packet detecting, and then improves the efficiency and effectiveness of P2P detection by extracting suspected P2P traffic to decrease the scope of testing. Meanwhile, the decision tree is combined to achieve the protocols analyses, effective classification and identification. At last, the certain research perspective is proposed to monitor the P2P traffic in the future.
出处
《电视技术》
北大核心
2013年第1期101-104,共4页
Video Engineering
基金
国家"863"计划项目(2012BAH38B05)
关键词
P2P
多尺度分析
流量检测
决策树
P2P
multi-scale analysis
traffic monitoring
decision-tree
作者简介
郑淋（1986-），硕士生，主要研究方向为移动互联网网络信息安全；
叶猛（1975-），博士，高级工程师，主要研究方向为网络信息安全。
