Document Type

Journal Article

Department/Unit

Department of Computer Science

Title

Dissecting darknets: Measurement and performance analysis

Language

English

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.

Keywords

Analysis, BitTorrent, Darknets, Peer-to-peer networks, Private tracker

Publication Date

2014

Source Publication Title

ACM Transactions on Internet Technology

Volume

13

Issue

3

Start Page

1900-01-00

End Page

1900-01-00

Publisher

Association for Computing Machinery

DOI

10.1145/2611527

Link to Publisher's Edition

http://dx.doi.org/10.1145/2611527

ISSN (print)

15335399

ISSN (electronic)

15576051

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