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Design and Implementation of Tor Traffic Collection System Using Multiple Virtual Machines

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2019, 15(1), pp.1-9
  • DOI : 10.29056/jsav.2019.06.01
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : May 30, 2019
  • Accepted : June 20, 2019
  • Published : June 30, 2019

Hyun-Jae Choi 1 Hyun-Soo Kim 2 Dong-Myung Shin 2

1성균관대학교
2엘에스웨어

Candidate

ABSTRACT

We intend to collect and analyze traffic efficiently in order to detect copyright infringement that illegally share contents on Tor network. We have designed and implemented a Tor traffic collection system using multiple virtual machines. We use a number of virtual machines and Mini PCs as clients to connect to Tor network, and automate both the collection and refinement processes in the traffic collection server through script-based test client software. Through this system, only the necessary field data on Tor network can be stored in the database, and only 95% or more of recognition of Tor traffic is achieved.

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