Department of Computer Science
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.
Analysis, BitTorrent, Darknets, Peer-to-peer networks, Private tracker
Source Publication Title
ACM Transactions on Internet Technology
Association for Computing Machinery
© Chu et al. 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Internet Technology, http://dx.doi.org/10.1145/2611527.
This work was supported by a Hong Kong CTRF grant HKBU 210412.
Link to Publisher's Edition
Chu, X., Chen, X., Jia, A., Pouwelse, J., & J. Epema, D. (2014). Dissecting darknets: Measurement and performance analysis. ACM Transactions on Internet Technology, 13 (3), 7:1-7:25. https://doi.org/10.1145/2611527