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FinTech
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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FinTech
Article . 2024
Data sources: DOAJ
https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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Preprint . 2023
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Argumentation Schemes for Blockchain Deanonymisation

Authors: Dominic Deuber; Jan Gruber; Merlin Humml; Viktoria Ronge; Nicole Scheler;

Argumentation Schemes for Blockchain Deanonymisation

Abstract

Cryptocurrency forensics have become standard tools for law enforcement. Their basic idea is to deanonymise cryptocurrency transactions to identify the people behind them. Cryptocurrency deanonymisation techniques are often based on premises that largely remain implicit, especially in legal practice. On the one hand, this implicitness complicates investigations. On the other hand, it can have far-reaching consequences for the rights of those affected. Argumentation schemes could remedy this untenable situation by rendering the underlying premises more transparent. Additionally, they can aid in critically evaluating the probative value of any results obtained by cryptocurrency deanonymisation techniques. In the argumentation theory and AI community, argumentation schemes are influential as they state the implicit premises for different types of arguments. Through their critical questions, they aid the argumentation participants in critically evaluating arguments. We specialise the notion of argumentation schemes to legal reasoning about cryptocurrency deanonymisation. Furthermore, we demonstrate the applicability of the resulting schemes through an exemplary real-world case. Ultimately, we envision that using our schemes in legal practice can solidify the evidential value of blockchain investigations, as well as uncover and help to address uncertainty in the underlying premises—thus contributing to protecting the rights of those affected by cryptocurrency forensics.

Country
Germany
Related Organizations
Keywords

FOS: Computer and information sciences, legal reasoning, Computer Science - Cryptography and Security, Artificial Intelligence (cs.AI), argumentation, Engineering economy, Computer Science - Artificial Intelligence, K400, TA177.4-185, blockchain analysis, Cryptography and Security (cs.CR)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold