DocumentCode
536236
Title
Automatic extraction signature sequence of unknown network application
Author
Bianqin, Wang ; Shunzheng, Yu
Author_Institution
Guangzhou Higher Educ. Mega Center, Sun Yat-sen Univ., Guangzhou, China
Volume
1
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
581
Lastpage
584
Abstract
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.
Keywords
digital signatures; identification rate; item mining; performance metrics; precision rate; signature sequence extraction; unknown network application; Computers; Sun; frequent item mining; network application; session; signature sequence extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658448
Filename
5658448
Link To Document