| Title: | STALITA: innovative platform for bank transactions analysis |
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| Authors: | ID Jesenko, David (Author)
ID Kohek, Štefan (Author)
ID Žalik, Borut (Author)
ID Brumen, Matej (Author)
ID Kavran, Domen (Author)
ID Lukač, Niko (Author)
ID Živec, Andrej (Author)
ID Pur, Aleksander (Author) |
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| Files: |  applsci-12-12492-v2.pdf (1,44 MB)
MD5: F1BA971BC9EE59E47DD7BCE05397D2A5
 https://www.mdpi.com/2076-3417/12/23/12492
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Acts of fraud have become much more prevalent in the financial industry with the rise
of technology and the continued economic growth in modern society. Fraudsters are evolving
their approaches continuously to exploit the vulnerabilities of the current prevention measures
in place, many of whom are targeting the financial sector. To overcome and investigate financial
frauds, this paper presents STALITA, which is an innovative platform for the analysis of bank
transactions. STALITA enables graph-based data analysis using a powerful Neo4j graph database
and the Cypher query language. Additionally, a diversity of other supporting tools, such as support
for heterogeneous data sources, force-based graph visualisation, pivot tables, and time charts, enable
in-depth investigation of the available data. In the Results section, we present the usability of the
platform through real-world case scenarios. |
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| Keywords: | Neo4j, platform, bank transactions, graph analysis, graph visualisation, fraud, investigation |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 24.10.2022 |
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| Article acceptance date: | 04.12.2022 |
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| Publication date: | 06.12.2022 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2022 |
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| Number of pages: | 13 str. |
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| Numbering: | Vol. 12, iss. 23 |
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| PID: | 20.500.12556/DKUM-92298  |
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| UDC: | 004.9 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 132658691 |
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| DOI: | 10.3390/app122312492 |
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| Copyright: | © 2022 by the authors |
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| Publication date in DKUM: | 27.03.2025 |
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| Views: | 201 |
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| Downloads: | 33 |
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| Metadata: |    |
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| Categories: | Misc.
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