사물인터넷융복합논문지 (Journal of Internet of Things and Convergence)

한국사물인터넷학회 (The Korea Internet of Things Society)
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Tor 사용자 추적 기술 동향에 관한 연구

A Research on User Tracing Technologies in Tor

  • 한경현 (홍익대학교 전자전산공학과) ;
  • 황성운 (가천대학교 컴퓨터공학과)
  • Han, KyungHyun (Department of Electronics and Computer Engineering, Hongik University) ;
  • Hwang, Seong Oun (Department of Computer Engineering, Gachon University)
  • 투고 : 2022.07.25
  • 심사 : 2022.09.22
  • 발행 : 2022.10.31
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초록

익명 네트워크는 감시나 트래픽 추적을 피하기 위한 정보통신 보호를 목적으로 설계된 네트워크이다. 그러나 최근에는 이러한 특성을 악용하여 사이버 범죄자들이 익명 네트워크를 활용하여 사이버 범죄를 일으키고, 사법 당국의 추적을 회피하고 있다. 본 논문에서는 익명 네트워크 중 하나인 Tor를 중심으로 관련 연구를 조사한다. 본 논문은 Tor가 어떻게 익명성을 제공하는지 소개하고, Tor를 대상으로 어떻게 사용자를 추적할 수 있는지 소개한다. 또한 각 추적 기술을 비교 분석하였으며, 연구자가 실험 환경을 어떻게 구축할 수 있는지 설명한다.

Anonymous networks are designed to protect information and communication by avoiding monitoring or tracking traffic. In recent years, however, cybercriminals have evaded law enforcement tracking by exploiting the characteristics of anonymous networks. In this paper, we investigate related research focusing on Tor, one of the anonymous networks. This paper introduces how Tor provides anonymity, and how tracing technologies can track users against Tor. In addition, we compare and analyze tracing techniques, and explain how a researcher can establish an experimental environment.

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과제정보

이 논문은 2022년 정부(방위사업청)의 재원으로 국방과학연구소의 지원을 받아 수행된 연구임(UI220040XD)

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