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Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict

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arxiv 2504.17050 v1 pith:AMDYO34N submitted 2025-04-23 cs.CY

classification cs.CY
keywords traffickingnetworksanalysisconflictcryptocurrenciesfinancialhumanidentifies
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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