• DocumentCode
    2331258
  • Title

    BitTorrent Darknets

  • Author

    Zhang, Chao ; Dhungel, Prithula ; Wu, Di ; Liu, Zhengye ; Ross, Keith W.

  • Author_Institution
    Polytech. Inst. of NYU, Brooklyn, NY, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    A private BitTorrent site (also known as a "Bit Torrent darknet") is a collection of torrents that can only be accessed by members of the darknet community. The private BitTorrent sites also have incentive policies which encourage users to continue to seed files after completing downloading. Although there are at least 800 independent BitTorrent darknets in the Internet, they have received little attention in the research community to date. We examine BitTorrent darknets from macroscopic, medium-scopic and microscopic perspectives. For the macroscopic analysis, we consider 800+ private sites to obtain a broad picture of the darknet landscape, and obtain a rough estimate of the total number of files, accounts, and simultaneous peers within the entire darknet landscape. Although the size of each private site is relatively small, we find the aggregate size of the darknet landscape to be surprisingly large. For the medium-scopic analysis, we investigate content overlap between four private sites and the public BitTorrent ecosystem. For the microscopic analysis, we explore in-depth one private site and examine its user behavior. We observe that the seed-to-leecher ratios and upload-to-download ratios are much higher than in the public ecosystem. The macroscopic, medium-scopic and microscopic analyses when combined provide a vivid picture of the darknet landscape, and provide insight into how the darknet landscape differs from the public BitTorrent ecosystem.
  • Keywords
    Internet; Web sites; BitTorrent darknet landscape; Internet; medium-scopic analysis; microscopic analysis; private BitTorrent sites; public BitTorrent ecosystem; Aggregates; Chaotic communication; Communications Society; Ecosystems; Internet; Microscopy; Performance analysis; Performance evaluation; Regression analysis; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2010 Proceedings IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-5836-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2010.5461962
  • Filename
    5461962