DocumentCode :
2392915
Title :
Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification
Author :
Feng, Xuepeng ; Huang, Xiaohong ; Tian, Xu ; Ma, Yan
Author_Institution :
Inst. of Networking Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2010
fDate :
26-28 Oct. 2010
Firstpage :
154
Lastpage :
158
Abstract :
Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the identification more accuracy, we should build a good set of application protocol signatures, however, it is a very time consuming task and demands a high expertise. This paper proposes an automatic traffic signature generation approach based on Smith-waterman algorithm, which is widely used for determining similar regions between two nucleotide or protein sequences. Our results show that it is a very accurate and quick approach compared to the approach that uses preceding application protocol analysis.
Keywords :
computer network security; cryptographic protocols; digital signatures; telecommunication traffic; Smith-Waterman algorithm; application protocol signature; automatic traffic signature extraction; deep packet inspection; traffic classification; Electronic publishing; Information services; Inspection; Internet; Laser applications; Nonlinear optics; Switches; Smith-waterman; automatic signature generation; deep packet inspection; traffic classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6769-3
Type :
conf
DOI :
10.1109/ICBNMT.2010.5704886
Filename :
5704886
Link To Document :
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