Automatic Detection of County Lines Criminal Scheme

Tomasz Granosik, Elżbieta Lewańska


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.


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

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DOI: 10.7250/csimq.2020-23.02


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