Bitcoin exchange addresses identification and its application in online drug trading regulation

Jiaqi Liang, Linjing Li, Shu Luan, Lu Gan, Daniel Zeng

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

A typical example of the impact of the use of Bitcoin on smart health is the darknet market, the website for Bitcoin-based drug sales, and the anonymity exacerbates regulatory difficulties. Bitcoin exchanges are critical portals that link the physical world with cyberspace through buying and selling Bitcoins using fiat money, such as USD and Euro. Thus, identifying exchange addresses in the Bitcoin transaction network is the primary step to detect drug trading in darknet markets. In this paper, we first validate that the exchange addresses are identifiable. Then we propose identification methods based on embedding representation of transaction network. Experimental results on a dataset with records of one-week transactions validated the effectiveness of our method. This work will offer the basis for subsequent applications in smart health.

Original languageEnglish (US)
StatePublished - 2019
Externally publishedYes
Event23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019 - Xi'an, China
Duration: Jul 8 2019Jul 12 2019

Conference

Conference23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019
Country/TerritoryChina
CityXi'an
Period7/8/197/12/19

Keywords

  • Bitcoin
  • Exchange addresses
  • Network representation learning
  • Regulation

ASJC Scopus subject areas

  • Information Systems

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