Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict
Ozer M, Kucukkaya G, Kose Y, Mukasheva A, Ciris K, Penumatcha BV (2025)
Publication Type: Conference contribution
Publication year: 2025
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 2509 CCIS
Pages Range: 201-212
Conference Proceedings Title: Communications in Computer and Information Science
Event location: Las Vegas, NV
ISBN: 9783031949524
DOI: 10.1007/978-3-031-94953-1_17
Abstract
This study proposes a prototype for locating important individuals and financial exchanges in networks of people trafficking that have grown during the conflict between Russia and Ukraine. It focuses on the role of digital platforms, cryptocurrencies, and the dark web in facilitating these operations. The research maps trafficking networks and identifies key players and financial flows by utilizing open-source intelligence (OSINT), social network analysis (SNA), and blockchain analysis. The results show how cryptocurrencies—Bitcoin in particular—are used for anonymous transactions and imply that upsetting central coordinators may cause wider networks to become unstable. In order to combat human trafficking, the study emphasizes the significance of real-time data sharing between international law enforcement. It also identifies future directions for the development of improved monitoring tools and cooperative platforms.
Involved external institutions
University of Cincinnati
United States (USA) (US)
Kazakh-British Technical University (KBTU) / Казахстанско-Британский технический университет / Қазақстан-Британ техникалық университеті
Kazakhstan (KZ)
United States (USA) (US)
Kazakh-British Technical University (KBTU) / Казахстанско-Британский технический университет / Қазақстан-Британ техникалық университеті
Kazakhstan (KZ)
How to cite
APA:
Ozer, M., Kucukkaya, G., Kose, Y., Mukasheva, A., Ciris, K., & Penumatcha, B.V. (2025). Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict. In Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Soheyla Amirian, Farid Ghareh Mohammadi (Eds.), Communications in Computer and Information Science (pp. 201-212). Las Vegas, NV, US: Springer Science and Business Media Deutschland GmbH.
MLA:
Ozer, Murat, et al. "Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict." Proceedings of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, Las Vegas, NV Ed. Hamid R. Arabnia, Leonidas Deligiannidis, Farzan Shenavarmasouleh, Soheyla Amirian, Farid Ghareh Mohammadi, Springer Science and Business Media Deutschland GmbH, 2025. 201-212.
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