P2P traffic identification

Gang Lu; Hong Li Zhang; Lin Ye

doi:10.3724/SP.J.1001.2011.03995

P2P traffic identification

Gang Lu^*
, Hong Li Zhang
, Lin Ye

^*Corresponding author for this work

Faculty of Computing

School of Computer Science and Technology, Harbin Institute of Technology
Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

The rapid increase of P2P traffic worsens the congestion of network while P2P traffic identification becomes the basic technical support for network management. The types of P2P traffic and main challenges of traffic identification are introduced first. Next, the main techniques and research progresses of P2P traffic identification are summarized. Finally, the future trend is put forward.

Original language	English
Pages (from-to)	1281-1298
Number of pages	18
Journal	Ruan Jian Xue Bao/Journal of Software
Volume	22
Issue number	6
DOIs	https://doi.org/10.3724/SP.J.1001.2011.03995
State	Published - Jun 2011

Keywords

Deep packet inspection
Machine learning
Network behavior
Peer-to-peer (P2P) network
Port identification

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10.3724/SP.J.1001.2011.03995

Cite this

@article{39dfcd2ef05741819107a5a77646aa67,

title = "P2P traffic identification",

abstract = "The rapid increase of P2P traffic worsens the congestion of network while P2P traffic identification becomes the basic technical support for network management. The types of P2P traffic and main challenges of traffic identification are introduced first. Next, the main techniques and research progresses of P2P traffic identification are summarized. Finally, the future trend is put forward.",

keywords = "Deep packet inspection, Machine learning, Network behavior, Peer-to-peer (P2P) network, Port identification",

author = "Gang Lu and Zhang, \{Hong Li\} and Lin Ye",

year = "2011",

month = jun,

doi = "10.3724/SP.J.1001.2011.03995",

language = "英语",

volume = "22",

pages = "1281--1298",

journal = "Ruan Jian Xue Bao/Journal of Software",

issn = "1000-9825",

publisher = "Chinese Academy of Sciences",

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T1 - P2P traffic identification

AU - Lu, Gang

AU - Zhang, Hong Li

AU - Ye, Lin

PY - 2011/6

Y1 - 2011/6

N2 - The rapid increase of P2P traffic worsens the congestion of network while P2P traffic identification becomes the basic technical support for network management. The types of P2P traffic and main challenges of traffic identification are introduced first. Next, the main techniques and research progresses of P2P traffic identification are summarized. Finally, the future trend is put forward.

AB - The rapid increase of P2P traffic worsens the congestion of network while P2P traffic identification becomes the basic technical support for network management. The types of P2P traffic and main challenges of traffic identification are introduced first. Next, the main techniques and research progresses of P2P traffic identification are summarized. Finally, the future trend is put forward.

KW - Deep packet inspection

KW - Machine learning

KW - Network behavior

KW - Peer-to-peer (P2P) network

KW - Port identification

UR - https://www.scopus.com/pages/publications/79959577296

U2 - 10.3724/SP.J.1001.2011.03995

DO - 10.3724/SP.J.1001.2011.03995

M3 - 文章

AN - SCOPUS:79959577296

SN - 1000-9825

VL - 22

SP - 1281

EP - 1298

JO - Ruan Jian Xue Bao/Journal of Software

JF - Ruan Jian Xue Bao/Journal of Software

IS - 6

ER -

P2P traffic identification

Abstract

Keywords

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