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 :
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