Towards Deanonymization of Mixing Services in Bitcoin

Chabeli Castano Arango, Roberto Luna-Garcia, Steven Cutchin, Gaby G. Dagher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Bitcoin transactions are pseudonymous, which means that even when addresses or addresses can be connected one to another, it is really hard to connect them with outside entities. On top of that there have been a proliferation of bitcoins mixing sites in recent years. These sites operate mostly on the dark web and their main mission is launder bitcoins by making vast amounts of complex transactions with them and to make their association with a single owner even harder. Our mission is to make that distinction easier. In this paper we plan to introduce two novel heuristics. Our OI heuristic is designed to parse blockchain data in a way where we only receive information we deem is of interest. We introduce HOLO which aims to taint bitcoin addresses in reference to a fixed output. We also visualize the blockchain and our heuristic in an easily digestible manner.

Original languageEnglish
Title of host publication2022 IEEE 1st Global Emerging Technology Blockchain Forum
Subtitle of host publicationBlockchain and Beyond, iGETblockchain 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665451987
DOIs
StatePublished - 2022
Event1st IEEE Global Emerging Technology Blockchain Forum: Blockchain and Beyond, iGETblockchain 2022 - Irvine, United States
Duration: 7 Nov 202211 Nov 2022

Publication series

Name2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain and Beyond, iGETblockchain 2022

Conference

Conference1st IEEE Global Emerging Technology Blockchain Forum: Blockchain and Beyond, iGETblockchain 2022
Country/TerritoryUnited States
CityIrvine
Period7/11/2211/11/22

Keywords

  • Bitcoin
  • Mixing Services
  • Taint Analysis
  • Visualization

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