计算机工程2011，Vol.37Issue(13)：141-143,3.DOI:10.3969/j.issn.1000-3428.2011.13.045
基于SVM的HTTP隧道检测技术研究
Research on HTTP Tunnel Detection Technique Based on SVM
摘要
Abstract
This paper presents an algorithm that detects HTTP tunnel based on Support Vector Machine(SVM).It obtains feature fields to generate training sets for building classification model using SVM, and combines famous address matching and the direction selection of HTTP flow to detect the HTTP tunnel traffics.The algorithm is compared with the related algorithm, and the results show it does not use the probability distribution of sample space.It is steady and effective which can detect the HTTP tunnel traffics with high hit ratio.关键词
网络流/特征字段/HTTP隧道检测/支持向量机Key words
network flow/ feature field/ HTTP tunnel detection/ Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
饶孟良,蔡皖东,丁要军..基于SVM的HTTP隧道检测技术研究[J].计算机工程,2011,37(13):141-143,3.基金项目
国家"863"计划基金资助项目(2009AA01 2424) （2009AA01 2424）
