Analysis techniques for illicit Bitcoin transactions

Adam Brian Turner; Stephen McCombie; Allon J. Uhlmann

doi:10.3389/fcomp.2020.600596

Analysis techniques for illicit Bitcoin transactions

Adam Brian Turner^*, Stephen McCombie, Allon J. Uhlmann

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

761 Downloads (Pure)

Abstract

This comprehensive overview of analysis techniques for illicit Bitcoin transactions addresses both technical, machine learning approaches as well as a non-technical, legal, and governance considerations. We focus on the field of ransomware countermeasures to illustrate our points.

Original language	English
Article number	600596
Pages (from-to)	1-12
Number of pages	12
Journal	Frontiers in Computer Science
Volume	2
DOIs	https://doi.org/10.3389/fcomp.2020.600596
Publication status	Published - 30 Nov 2020

Bibliographical note

Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

bitcoin
machine learning
graph analysis
financial crime
ransomware
AML

Access to Document

10.3389/fcomp.2020.600596

Publisher version (open access)Final published version, 255 KBLicence: CC BY

Cite this

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Analysis techniques for illicit Bitcoin transactions

Abstract

Bibliographical note

Keywords

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