Automatic Extraction Signature Sequence of Unknown Network Application

摘要：

This paper presents a novel approach to automatically extract network application signature sequence from sessions of any application to identify the application accurately. Performance metrics such as identification rate and precision rate are applied to verity the extracted signature sequences. Experiment results show that this method is effective and the extracted signature sequences are subtle. Therefore it can be used to accurately identify the corresponding application.

关键词： network application signature sequence extraction frequent item mining session

作者: Wang Bianqin Yu Shunzheng

作者单位: School of Information Science and Technology Sun Yat-sen University Guangzhou Higher Education Mega School of Information Science and Technology Sun Yat-sen University Guangzhou Higher Education Mega

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 581-584

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）