Argumentation Schemes for Blockchain Deanonymisation

Author:

Deuber Dominic1ORCID,Gruber Jan1ORCID,Humml Merlin1ORCID,Ronge Viktoria1,Scheler Nicole1

Affiliation:

1. Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany

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.

Funder

German Research Foundation

DFG project RAND

Publisher

MDPI AG

Reference41 articles.

1. Follow the money;Wechsler;Foreign Aff.,2001

2. Nakamoto, S. (2024, March 14). Bitcoin: A Peer-to-Peer Electronic Cash System. Available online: https://bitcoin.org/bitcoin.pdf.

3. European Union Agency for Law Enforcement Cooperation (2024, March 14). IOCTA 2021: Internet Organised Crime Threat Assessment 2021. Available online: https://data.europa.eu/doi/10.2813/113799.

4. Androulaki, E., Karame, G., Roeschlin, M., Scherer, T., and Capkun, S. (2013, January 1–5). Evaluating User Privacy in Bitcoin. Proceedings of the Financial Cryptography and Data Security, Okinawa, Japan.

5. Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoy, D., Voelker, G.M., and Savage, S. (2013, January 23–25). A fistful of bitcoins: Characterizing payments among men with no names. Proceedings of the 2013 Conference on Internet Measurement Conference, Barcelona, Spain.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3