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IJIET 2014 Vol.4(5): 416-420 ISSN: 2010-3689
DOI: 10.7763/IJIET.2014.V4.441

Heavy-Uploader Tracking System Design in BitTorrent Environment

Jihah Nah and Jongweon Kim

Abstract—Copyright infringement using BitTorrent has become a major problem in the creative industries; however, no reliable technical means are available to prevent piracy. The packet filtering method, which is used to inspect network traffic and to detect problems, puts a heavy strain on network resources. At the same time, there is a big controversy over the privacy in communications and the authority to investigate. This paper proposes a tracking system to trace a heavy uploader, who illegally shares a significant amount of copyrighted contents through BitTorrent. The proposed tracking system analyzes the seed file of an illegal torrent, acquires the swarm tracker’s address, and retrieves the IP address or MAC address of a peer from the swarm list, which is a list of peers sharing copyrighted contents from the tracker. Interception and/or inspection of network packets with personal information can be an offense against privacy laws. However, the proposed heavy-uploader tracking method avoids these legal issues by gathering information about content-sharing peers through a client program. A heavy uploader can be determined using an acquired identifying address and a list of copyrighted content.

Index Terms—BitTorrent, copyright infringement, heavy uploader, tracking system.

Jihah Nah is with the Copyright Protection Research Institute, Sangmyung University, Korea (e-mail: jihah.nah@gmail.com).
Jongweon Kim is with the Dept. of Intellectual Property, Sangmyung University, Korea (e-mail: jwkim@smu.ac.kr).


Cite: Jihah Nah and Jongweon Kim, "Heavy-Uploader Tracking System Design in BitTorrent Environment," International Journal of Information and Education Technology vol. 4, no. 5, pp. 416-420, 2014.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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