Automatic Detection of County Lines Criminal Scheme

Authors

  • Tomasz Granosik Department of Information Systems, Institute of Informatics and Quantitative Economics, Poznan University of Economics and Business, al. Niepodległości 10, 61-875 Poznań
  • Elżbieta Lewańska Department of Information Systems, Institute of Informatics and Quantitative Economics, Poznan University of Economics and Business, al. Niepodległości 10, 61-875 Poznań https://orcid.org/0000-0002-0865-803X

DOI:

https://doi.org/10.7250/csimq.2020-23.02

Keywords:

County Lines, Crime, Money Laundering, Banking, GIS, Spatial Analysis, Anomaly Detection

Abstract

County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.

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Published

31.07.2020

Issue

No. 23 (2020): Complex Systems Informatics and Modeling Quarterly

Section

Articles

License

Copyright (c) 2020 Tomasz Granosik, Elżbieta Lewańska (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Granosik, T., & Lewańska, E. (2020). Automatic Detection of County Lines Criminal Scheme. Complex Systems Informatics and Modeling Quarterly, 23, 12-22. https://doi.org/10.7250/csimq.2020-23.02
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