Design and Implementation of Tor Traffic Collection System Using Multiple Virtual Machines (다수의 가상머신을 이용한 토르 트래픽 수집 시스템 설계 및 구현)

Hyun-Jae Choi (최현재); Hyun-Soo Kim (김현수); Dong-Myung Shin (신동명)

doi:10.29056/jsav.2019.06.01

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.

KEYWORDS

tor network, virtual machine, traffic collection, refining, software

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* References for papers published after 2023 are currently being built.

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Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of Software Assessment and Valuation 2023 KCI Impact Factor : 0.35

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

ABSTRACT

KEYWORDS

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REFERENCES (10) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.