Diffusion: Analysis of Many-to-Many Transactions in Bitcoin

Dylan Eck, Adam Torek, Steven Cutchin, Gaby G. Dagher

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Bitcoin is a decentralized cryptocurrency that enables entities to transfer funds psuedo-anonymously. Investigative services like the FBI, however, have been able to subvert this using various techniques. To counter this, the Bitcoin community uses several methods to obscure transactions, including shared send transactions among others. We attempt to peer into these transactions through a pairing of address clustering and shared send untangling and test our experimental results through path finding between addresses. We then implement our methodology to test its effectiveness. Our findings show that while using clustering can improve path-finding results and shared send untangling, we recommend applying heuristics in combination to increase effectiveness.

Original languageAmerican English
Title of host publication2021 IEEE International Conference on Blockchain (Blockchain)
StatePublished - 1 Jan 2021

Keywords

  • blockchain
  • Bitcoin
  • taint analysis
  • CoinJoin
  • cryptocurrencies
  • peer-to-peer computing

EGS Disciplines

  • Computer Sciences

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