Fostering Optimal Regulatory Compliance for Cryptocurrencies: An Interdisciplinary Approach

Project Information

FORCE

Grant agreement ID: 101235440

EC signature date 3 July 2025

Start date 1 October 2025

End date 30 September 2029

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 1 382 760,00

Coordinated by

ASTON UNIVERSITY
United Kingdom

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Regulatory Landscape Review Report

A comprehensive report documenting the review of global and regional AML regulations for cryptocurrencies. This deliverable will provide an analysis of existing legal frameworks, regulatory gaps, and the implications of emerging technologies such as DeFi and post-quantum cryptography for AML compliance.

Publications

Conference proceedings (6)

Preparing Blockchain Transaction Data for AI- Based AML Detection: A Reproducible Cloud Pipeline

Author(s): Bogdan Adamyk, Vladlena Benson, Oksana Adamyk, Ruslan Shevchuk, Bożena Fraczek, Vitaliy Shpachuk
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23041823

Privacy-Preserving Cross-Chain Asset Tracking: A Threshold PSI Protocol with Real-World Exploit Validation

Author(s): Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Mikolaj Karpinski, Topside Ehleketani Mathonsi
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23041630

Encryption Methods in the RNS Based on Changing Parameters of the Chinese Remainder Theorem

Author(s): Mykhailo Kasianchuk, Mykhailo Holembiovskyi, Oleh Momotiuk, Viktor Zalizniak, Inna Shylinska, Ruslan Shevchuk
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23041347

Detecting Suspicious Transactions in Blockchain Networks Using Temporal Graph AI

Author(s): Bogdan Adamyk, Ruslan Shevchuk, Vladlena Benson, Oksana Adamyk, Oksana Liashenko, Haider Al-Khateeb
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23041159

Data-Driven Analysis of the Global Terrorism Index and Basel AML Index: Cross-Sectional Modelling on Global Data

Author(s): Olha Kovalchuk, Ruslan Chyhur, Bogdan Adamyk, Oksana Adamyk, Roman Ivanytskyy, Pavlo Chopyk
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23041957

Assessing Institutional Determinants of Money Laundering Risk: A Machine Learning Approach Based on Economic Freedom Indicators

Author(s): Ruslan Shevchuk, Olha Kovalchuk, Zoriana Lobodina, Larysa Khokhlova, Iryna Krupiak, Tetiana Kuz
Published in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Publisher: IEEE
DOI: 10.5281/ZENODO.23040603

Peer reviewed articles (8)

Beneficial Ownership Transparency After Sovim: Between Privacy Rights and Anti-Money Laundering Imperatives in EU Law

Author(s): Olha Kovalchuk, Ruslan Shevchuk, Nataliia Holota, Serhiy Banakh
Published in: Laws, Issue 15, 2026, ISSN 2075-471X
Publisher: MDPI AG
DOI: 10.3390/LAWS15050117

AI-driven financial fraud: key risks and legal protections for financial institutions

Author(s): Vitaliy Shpachuk, Olena Markova, Bogdan Adamyk
Published in: Journal of Banking Regulation, Issue 27, 2026, ISSN 1745-6452
Publisher: Springer Science and Business Media LLC
DOI: 10.1057/S41261-025-00304-Y

Cryptocurrency Market Maturation and Evolving Risk Profiles: A Comparative Analysis of Bitcoin and Ethereum Tail Risk Dynamics

Author(s): Oksana Liashenko, Bogdan Adamyk, Oksana Adamyk
Published in: FinTech, Issue 5, 2026, ISSN 2674-1032
Publisher: MDPI AG
DOI: 10.3390/FINTECH5020028

Legal Dimensions of Global AML Risk Assessment: A Machine Learning Approach

Author(s): Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Mariana Verbitska and Oleksandra Lutsiv
Published in: Risks, Issue 14(1), 5, 2026, ISSN 2227-9091
Publisher: MDPI
DOI: 10.3390/RISKS14010005

Threshold-Based Private Set Intersection Protocol for Secure Deconfliction in Multi-Jurisdictional Blockchain Investigations

Author(s): Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson
Published in: Electronics, Issue 15, 2026, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/ELECTRONICS15122709

Anti-money laundering regulatory frameworks and decentralized finance adoption: a cross-jurisdictional analysis

Author(s): Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Published in: Digital Finance, Issue 8, 2026, ISSN 2524-6984
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S42521-026-00199-Y

Multidimensional analysis of interrelationships between money laundering risks, state vulnerability and institutional transformation: synergistic security effects

Author(s): Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Published in: Cogent Economics & Finance, Issue 14, 2026, ISSN 2332-2039
Publisher: Informa UK Limited
DOI: 10.1080/23322039.2026.2641296

CAHE-AML: Context-Aware Hybrid Encryption Framework for Secure Cross-Border AML Data Sharing in Cryptocurrency Ecosystems

Author(s): Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Olha Kovalchuk, Marcin Bernas, Vasyl Martsenyuk
Published in: Electronics, Issue 15, 2026, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/ELECTRONICS15143202

Book chapters (1)

Privacy-Enhancing Technologies for FATF Crypto Travel Rule: Balancing Compliance and Data Protection

Author(s): null null, Ruslan Shevchuk, Bogdan Adamyk, null null, Olha Kovalchuk, null null
Published in: Informatyka Techniczna i Sztuczna Inteligencja, 2025, ISBN 978-83-67652-52-0
Publisher: Wydanictwo Naukowe UBB
DOI: 10.53052/9788367652520.05