The classification of SSH tunneled traffic using maximum likelihood classifier
文献类型：会议论文
| 作者 | TanXiaobing ; SuXiuqin ; QianQingming |
| 出版日期 | 2011 |
| 会议名称 | 2011 international conference on electronics, communications and control, icecc 2011 |
| 会议日期 | september 9, 2011 - september 11, 2011 |
| 会议地点 | ningbo, china |
| 关键词 | SSH tunnel traffic classification boundary detection maximum likelihood classification |
| 页码 | 2347-2350 |
| 通讯作者 | tan xiaobing |
| 英文摘要 | secure shell(ssh) [1] provides tcp/ip port forwarding for any application-layer protocols. it is useful in protecting the privacy of users, but it can lead to the illegal use of some forbidden protocols. because of the encryption, the deep payload inspection (dpi) technique is ineffective in classifying the network traffic. this paper introduces how to employ the statistical pattern recognition method, maximum likelihood classification [2, 3], to classify the ssh tunneled traffic, i.e. to decide which protocols is tunneled in the encrypted tunnels. it is very important to find out the boundary of a tunneled flow in processing the originate data. so we proposed a method for detecting the boundaries of ssh tunneled traffic. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | ningbo university |
| 会议录 | 2011 international conference on electronics, communications and control
 |
| 语种 | 英语 |
| ISBN号 | 9781457703218 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/20023]  |
| 专题 | 西安光学精密机械研究所_光电测量技术实验室 |
| 推荐引用方式 GB/T 7714 | TanXiaobing,SuXiuqin,QianQingming. The classification of SSH tunneled traffic using maximum likelihood classifier[C]. 见:2011 international conference on electronics, communications and control, icecc 2011. ningbo, china. september 9, 2011 - september 11, 2011. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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