Fostering Optimal Regulatory Compliance for Cryptocurrencies: An Interdisciplinary Approach

Información del proyecto

FORCE

Identificador del acuerdo de subvención: 101235440

Fecha de la firma de la CE 3 Julio 2025

Fecha de inicio 1 Octubre 2025

Fecha de finalización 30 Septiembre 2029

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 1 382 760,00

Coordinado por

ASTON UNIVERSITY
United Kingdom

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Conference proceedings (6)

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

Autores: Bogdan Adamyk, Vladlena Benson, Oksana Adamyk, Ruslan Shevchuk, Bożena Fraczek, Vitaliy Shpachuk
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: IEEE
DOI: 10.5281/ZENODO.23041823

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

Autores: Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Mikolaj Karpinski, Topside Ehleketani Mathonsi
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: IEEE
DOI: 10.5281/ZENODO.23041630

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

Autores: Mykhailo Kasianchuk, Mykhailo Holembiovskyi, Oleh Momotiuk, Viktor Zalizniak, Inna Shylinska, Ruslan Shevchuk
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: IEEE
DOI: 10.5281/ZENODO.23041347

Detecting Suspicious Transactions in Blockchain Networks Using Temporal Graph AI

Autores: Bogdan Adamyk, Ruslan Shevchuk, Vladlena Benson, Oksana Adamyk, Oksana Liashenko, Haider Al-Khateeb
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: IEEE
DOI: 10.5281/ZENODO.23041159

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

Autores: Olha Kovalchuk, Ruslan Chyhur, Bogdan Adamyk, Oksana Adamyk, Roman Ivanytskyy, Pavlo Chopyk
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: IEEE
DOI: 10.5281/ZENODO.23041957

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

Autores: Ruslan Shevchuk, Olha Kovalchuk, Zoriana Lobodina, Larysa Khokhlova, Iryna Krupiak, Tetiana Kuz
Publicado en: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editor: 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

Autores: Olha Kovalchuk, Ruslan Shevchuk, Nataliia Holota, Serhiy Banakh
Publicado en: Laws, Edición 15, 2026, ISSN 2075-471X
Editor: MDPI AG
DOI: 10.3390/LAWS15050117

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

Autores: Vitaliy Shpachuk, Olena Markova, Bogdan Adamyk
Publicado en: Journal of Banking Regulation, Edición 27, 2026, ISSN 1745-6452
Editor: 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

Autores: Oksana Liashenko, Bogdan Adamyk, Oksana Adamyk
Publicado en: FinTech, Edición 5, 2026, ISSN 2674-1032
Editor: MDPI AG
DOI: 10.3390/FINTECH5020028

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

Autores: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Mariana Verbitska and Oleksandra Lutsiv
Publicado en: Risks, Edición 14(1), 5, 2026, ISSN 2227-9091
Editor: MDPI
DOI: 10.3390/RISKS14010005

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

Autores: Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson
Publicado en: Electronics, Edición 15, 2026, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS15122709

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

Autores: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Publicado en: Digital Finance, Edición 8, 2026, ISSN 2524-6984
Editor: 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

Autores: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Publicado en: Cogent Economics & Finance, Edición 14, 2026, ISSN 2332-2039
Editor: 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

Autores: Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Olha Kovalchuk, Marcin Bernas, Vasyl Martsenyuk
Publicado en: Electronics, Edición 15, 2026, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/ELECTRONICS15143202

Book chapters (1)

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

Autores: null null, Ruslan Shevchuk, Bogdan Adamyk, null null, Olha Kovalchuk, null null
Publicado en: Informatyka Techniczna i Sztuczna Inteligencja, 2025, ISBN 978-83-67652-52-0
Editor: Wydanictwo Naukowe UBB
DOI: 10.53052/9788367652520.05