Fostering Optimal Regulatory Compliance for Cryptocurrencies: An Interdisciplinary Approach

Informazioni relative al progetto

FORCE

ID dell’accordo di sovvenzione: 101235440

Data della firma CE 3 Luglio 2025

Data di avvio 1 Ottobre 2025

Data di completamento 30 Settembre 2029

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 1 382 760,00

Coordinato da

ASTON UNIVERSITY
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (6)

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

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

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

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

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

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

Detecting Suspicious Transactions in Blockchain Networks Using Temporal Graph AI

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

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

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

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

Autori: Ruslan Shevchuk, Olha Kovalchuk, Zoriana Lobodina, Larysa Khokhlova, Iryna Krupiak, Tetiana Kuz
Pubblicato in: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT), 2026
Editore: 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

Autori: Olha Kovalchuk, Ruslan Shevchuk, Nataliia Holota, Serhiy Banakh
Pubblicato in: Laws, Numero 15, 2026, ISSN 2075-471X
Editore: MDPI AG
DOI: 10.3390/LAWS15050117

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

Autori: Vitaliy Shpachuk, Olena Markova, Bogdan Adamyk
Pubblicato in: Journal of Banking Regulation, Numero 27, 2026, ISSN 1745-6452
Editore: 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

Autori: Oksana Liashenko, Bogdan Adamyk, Oksana Adamyk
Pubblicato in: FinTech, Numero 5, 2026, ISSN 2674-1032
Editore: MDPI AG
DOI: 10.3390/FINTECH5020028

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

Autori: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Mariana Verbitska and Oleksandra Lutsiv
Pubblicato in: Risks, Numero 14(1), 5, 2026, ISSN 2227-9091
Editore: MDPI
DOI: 10.3390/RISKS14010005

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

Autori: Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson
Pubblicato in: Electronics, Numero 15, 2026, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS15122709

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

Autori: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Pubblicato in: Digital Finance, Numero 8, 2026, ISSN 2524-6984
Editore: 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

Autori: Olha Kovalchuk, Ruslan Shevchuk, Serhiy Banakh, Nataliia Holota, Bogdan Adamyk, Vladlena Benson
Pubblicato in: Cogent Economics & Finance, Numero 14, 2026, ISSN 2332-2039
Editore: 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

Autori: Ruslan Shevchuk, Bogdan Adamyk, Vladlena Benson, Olha Kovalchuk, Marcin Bernas, Vasyl Martsenyuk
Pubblicato in: Electronics, Numero 15, 2026, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS15143202

Book chapters (1)

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

Autori: null null, Ruslan Shevchuk, Bogdan Adamyk, null null, Olha Kovalchuk, null null
Pubblicato in: Informatyka Techniczna i Sztuczna Inteligencja, 2025, ISBN 978-83-67652-52-0
Editore: Wydanictwo Naukowe UBB
DOI: 10.53052/9788367652520.05