P2P-based weighted behavioral characteristics of deep packet inspection algorithm

Author

Zhang, LiJuan ; Li, DongMing ; Shi, Jing ; Wang, JunNan

Author_Institution

Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China

Volume

1

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

468

Lastpage

470

Abstract

This paper deeply analyzes the characteristics of P2P flow and the most popular detection algorithm, on the basis of which, P2P-based weighted behavioral characteristics of deep packet inspection algorithm is proposed, which better combined two kinds of practical P2P detection technology, solving problems of a high rate of false behavioral detection technology positively in the way of P2P flow weighted behavioral characteristics, solving problems of the P2P flow classification through deep packet inspection technology, and providing better solutions both to decrease the delay of deep packet inspection and help to relieve the problems of large number of inspection affecting network speed.

Keywords

inspection; peer-to-peer computing; P2P-based weighted behavioral characteristics; deep packet inspection algorithm; false behavioural detection; network speed inspection; Deep Packet Inspection; Payload Eigenvalue; Peer-to-Peer; Weighted Behavioral Characteristics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5610457

Filename

5610457