The use of data acquisition and fusion techniques allow to generate event graphs in support of criminal investigations. In this paper, an anonymized real case study will be presented to identify undue transactions through graph analysis. All the steps of an investigation protocol are illustrated by describing how the tools adopted in this paper allow to semi-automatically analyze huge amounts of data coming from different nature, identifying suspicious transactions with high precision.
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study / V. Bellandi, S. Siccardi - In: 2022 IEEE International Conference on Big Data (Big Data)[s.l] : IEEE, 2022. - ISBN 978-1-6654-8045-1. - pp. 4601-4605 (( convegno IEEE International Conference on Big Data, Big Data tenutosi a Osaka nel 2022 [10.1109/BigData55660.2022.10020747].
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study
V. Bellandi;
2022
Abstract
The use of data acquisition and fusion techniques allow to generate event graphs in support of criminal investigations. In this paper, an anonymized real case study will be presented to identify undue transactions through graph analysis. All the steps of an investigation protocol are illustrated by describing how the tools adopted in this paper allow to semi-automatically analyze huge amounts of data coming from different nature, identifying suspicious transactions with high precision.
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