Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict
Murat Ozer, Goksel Kucukkaya, Yasin Kose, Assel Mukasheva, Kazim Ciris, Bharath V. Penumatcha
TL;DR
The study addresses the problem of human trafficking intensifying in conflict zones, with a focus on the Russia-Ukraine war. It adopts a data-driven approach that integrates OSINT, social network analysis (SNA), and blockchain tracing to map networks and financial flows. Key contributions include identifying central actors, tracing cryptocurrency-based transactions, and validating findings through law-enforcement collaboration to enable disruption. The work offers a scalable framework for real-time, tech-enabled interventions that can inform policy and practice in war-affected regions and beyond.
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 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.