دورية أكاديمية

Argumentation Schemes for Blockchain Deanonymisation.

التفاصيل البيبلوغرافية
العنوان: Argumentation Schemes for Blockchain Deanonymisation.
المؤلفون: Deuber, Dominic, Gruber, Jan, Humml, Merlin, Ronge, Viktoria, Scheler, Nicole
المصدر: FinTech; Jun2024, Vol. 3 Issue 2, p236-248, 13p
مصطلحات موضوعية: BLOCKCHAINS, CRYPTOCURRENCIES, LEGAL reasoning, LAW enforcement, ARTIFICIAL intelligence
مستخلص: 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. [ABSTRACT FROM AUTHOR]
Copyright of FinTech is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:26741032
DOI:10.3390/fintech3020014