摘要: |
提出了一种基于决策树的隧道分类模型,通过构建一棵IPv6overIPv4隧道的分类树将网络数据流量分为Teredo、6to4、Isatap、IPv6inGreinIPv4、其它IPv6overIPv4隧道以及非隧道类型6类。最后根据建立的决策树共提取11条判定规则,并利用该模型中提取的特征和规则给出了隧道识别系统的实现,实验结果表明应用该模型的准确识别率能到达到90%以上,分类效果明显。 |
关键词: IPv6;决策树;IPv6overIPv4;隧道识别 |
基金项目:“十二五”国防基础科研项目(C0320110002) |
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Research and Implementation of IPv6overIPv4 Tunnel Recognition Technology Based on Campus Network |
Zhou Yongheng Wang Jiachun Ji Wei Zhao Fei
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Beijing Institute of Spacecraft System Engineering, Beijing 100094
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Abstract: |
A model of tunnel classification is proposed based on decision tree in this paper, by classifying property, a tree of classification is built and the network flow is divided into Teredo, 6to4, Isatap, IPv6inGreinIPv4, other IPv6overIPv4, and not belonging to tunnel 6 classes. Finally eleven decision rules is extracted by using the decision tree, and the tunnel identification system is implemented by using the extracted features and rules. Experimental results show that the accuracy rate of classification can be 90% and classification results are significant. |
Key words: IPv6;decision tree;IPv6overIPv4;tunnel Identification |