Dissecting darknets: Measurement and performance analysis

Xiaowen Chu; Xiaowei Chen; Adele Lu Jia; Johan A. Pouwelse; Dick H J Epema

doi:10.1145/2611527

Dissecting darknets: Measurement and performance analysis

Xiaowen Chu, Xiaowei Chen, Adele Lu Jia, Johan A. Pouwelse^*, Dick H J Epema

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

4 Citations (Scopus)

60 Downloads (Pure)

Abstract

BitTorrent (BT) plays an important role in Internet content distribution. Because public BTs suffer from the free-rider problem, Darknets are becoming increasingly popular, which use Sharing Ratio Enforcement to increase their efficiency. We crawled and traced 17 Darknets from September 2009 to February 2011, and obtained datasets about over 5 million torrents. We conducted a broad range of measurements, including traffic, sites, torrents, and users activities. We found that some of the features of Darknets are noticeably different from public BTs. The results of our study reflect both macroscopic and microscopic aspects of the overall ecosystem of BitTorrent Darknets.

Original language	English
Article number	2611527
Number of pages	25
Journal	ACM Transactions on Internet Technology
Volume	13
Issue number	3
DOIs	https://doi.org/10.1145/2611527
Publication status	Published - May 2014

Scopus Subject Areas

Computer Networks and Communications

User-Defined Keywords

Analysis
BitTorrent
Darknets
Peer-to-peer networks
Private tracker

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10.1145/2611527

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title = "Dissecting darknets: Measurement and performance analysis",

abstract = "BitTorrent (BT) plays an important role in Internet content distribution. Because public BTs suffer from the free-rider problem, Darknets are becoming increasingly popular, which use Sharing Ratio Enforcement to increase their efficiency. We crawled and traced 17 Darknets from September 2009 to February 2011, and obtained datasets about over 5 million torrents. We conducted a broad range of measurements, including traffic, sites, torrents, and users activities. We found that some of the features of Darknets are noticeably different from public BTs. The results of our study reflect both macroscopic and microscopic aspects of the overall ecosystem of BitTorrent Darknets.",

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author = "Xiaowen Chu and Xiaowei Chen and Jia, {Adele Lu} and Pouwelse, {Johan A.} and Epema, {Dick H J}",

year = "2014",

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journal = "ACM Transactions on Internet Technology",

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T1 - Dissecting darknets

T2 - Measurement and performance analysis

AU - Chu, Xiaowen

AU - Chen, Xiaowei

AU - Jia, Adele Lu

AU - Pouwelse, Johan A.

AU - Epema, Dick H J

PY - 2014/5

Y1 - 2014/5

N2 - BitTorrent (BT) plays an important role in Internet content distribution. Because public BTs suffer from the free-rider problem, Darknets are becoming increasingly popular, which use Sharing Ratio Enforcement to increase their efficiency. We crawled and traced 17 Darknets from September 2009 to February 2011, and obtained datasets about over 5 million torrents. We conducted a broad range of measurements, including traffic, sites, torrents, and users activities. We found that some of the features of Darknets are noticeably different from public BTs. The results of our study reflect both macroscopic and microscopic aspects of the overall ecosystem of BitTorrent Darknets.

AB - BitTorrent (BT) plays an important role in Internet content distribution. Because public BTs suffer from the free-rider problem, Darknets are becoming increasingly popular, which use Sharing Ratio Enforcement to increase their efficiency. We crawled and traced 17 Darknets from September 2009 to February 2011, and obtained datasets about over 5 million torrents. We conducted a broad range of measurements, including traffic, sites, torrents, and users activities. We found that some of the features of Darknets are noticeably different from public BTs. The results of our study reflect both macroscopic and microscopic aspects of the overall ecosystem of BitTorrent Darknets.

KW - Analysis

KW - BitTorrent

KW - Darknets

KW - Peer-to-peer networks

KW - Private tracker

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DO - 10.1145/2611527

M3 - Journal article

AN - SCOPUS:84901932989

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VL - 13

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JF - ACM Transactions on Internet Technology

IS - 3

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ER -

Dissecting darknets: Measurement and performance analysis

Abstract

Scopus Subject Areas

User-Defined Keywords

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