DocumentCode
2814533
Title
The Study of DPI Identification Technology Based on Sampling
Author
Chen, Hongwei ; You, Fangping ; Zhou, Xin ; Wang, Chunzhi
Author_Institution
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
DPI identification technology is a main technique of P2P data stream identification technology; the advantages of it are higher accuracy and the ability of distinguishing accurately which type of P2P applications. But it is difficult to apply in highspeed networks due to its slow execution speed. To solve this problem, this paper suggests six sampling strategies: invariable random sampling, invariable mechanical sampling, time random sampling, time mechanical sampling, speed random sampling mode and speed mechanical sampling. Discussing and testing how these strategies affect the DPI identification system in different network environments. Test conclusions shows that six sampling modes reduce the burden on the system in different degrees and maintain a high identification ratio of P2P data stream.
Keywords
peer-to-peer computing; sampling methods; telecommunication security; DPI identification system; DPI identification technology; P2P data stream identification technology; deep packet inspection; invariable mechanical sampling; invariable random sampling; network environment; speed mechanical sampling; speed random sampling; time mechanical sampling; time random sampling; Computer science; Data mining; Educational institutions; High-speed networks; Inspection; Protocols; Sampling methods; Stochastic processes; System testing; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363202
Filename
5363202
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