Implementation of P2P nodes detection based on decision tree

Yong Ping Dong; Xiang Zhan Yu; Gang Wu

doi:10.3969/j.issn.1000-436x.2013.z2.009

Implementation of P2P nodes detection based on decision tree

Yong Ping Dong^*
, Xiang Zhan Yu
, Gang Wu

^*Corresponding author for this work

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

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

Abstract

A P2P nodes detection method based on decision model was proposed by a long time of observation. As this method is a statistical analysis of the transport layer packet characteristics, identification of the network node for encrypted or unencrypted P2P applications is effective. Experiment shows that this method has higher accuracy and lower false positive rate and false negative rate.

Original language	English
Pages (from-to)	40-46
Number of pages	7
Journal	Tongxin Xuebao/Journal on Communications
Volume	34
Issue number	SUPPL.2
DOIs	https://doi.org/10.3969/j.issn.1000-436x.2013.z2.009
State	Published - Sep 2013
Externally published	Yes

Keywords

Decision tree
P2P
Traffic characteristic
Traffic identification

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10.3969/j.issn.1000-436x.2013.z2.009

Cite this

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title = "Implementation of P2P nodes detection based on decision tree",

abstract = "A P2P nodes detection method based on decision model was proposed by a long time of observation. As this method is a statistical analysis of the transport layer packet characteristics, identification of the network node for encrypted or unencrypted P2P applications is effective. Experiment shows that this method has higher accuracy and lower false positive rate and false negative rate.",

keywords = "Decision tree, P2P, Traffic characteristic, Traffic identification",

author = "Dong, \{Yong Ping\} and Yu, \{Xiang Zhan\} and Gang Wu",

year = "2013",

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T1 - Implementation of P2P nodes detection based on decision tree

AU - Dong, Yong Ping

AU - Yu, Xiang Zhan

AU - Wu, Gang

PY - 2013/9

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N2 - A P2P nodes detection method based on decision model was proposed by a long time of observation. As this method is a statistical analysis of the transport layer packet characteristics, identification of the network node for encrypted or unencrypted P2P applications is effective. Experiment shows that this method has higher accuracy and lower false positive rate and false negative rate.

AB - A P2P nodes detection method based on decision model was proposed by a long time of observation. As this method is a statistical analysis of the transport layer packet characteristics, identification of the network node for encrypted or unencrypted P2P applications is effective. Experiment shows that this method has higher accuracy and lower false positive rate and false negative rate.

KW - Decision tree

KW - P2P

KW - Traffic characteristic

KW - Traffic identification

UR - https://www.scopus.com/pages/publications/84891544293

U2 - 10.3969/j.issn.1000-436x.2013.z2.009

DO - 10.3969/j.issn.1000-436x.2013.z2.009

M3 - 文章

AN - SCOPUS:84891544293

SN - 1000-436X

VL - 34

SP - 40

EP - 46

JO - Tongxin Xuebao/Journal on Communications

JF - Tongxin Xuebao/Journal on Communications

IS - SUPPL.2

ER -

Implementation of P2P nodes detection based on decision tree

Abstract

Keywords

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