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Title:STALITA: innovative platform for bank transactions analysis
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)
Files:.pdf applsci-12-12492-v2.pdf (1,44 MB)
MD5: F1BA971BC9EE59E47DD7BCE05397D2A5
 
URL https://www.mdpi.com/2076-3417/12/23/12492
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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.
Keywords:Neo4j, platform, bank transactions, graph analysis, graph visualisation, fraud, investigation
Publication status:Published
Publication version:Version of Record
Submitted for review:24.10.2022
Article acceptance date:04.12.2022
Publication date:06.12.2022
Publisher:MDPI AG
Year of publishing:2022
Number of pages:13 str.
Numbering:Vol. 12, iss. 23
PID:20.500.12556/DKUM-92298 New window
UDC:004.9
ISSN on article:2076-3417
COBISS.SI-ID:132658691 New window
DOI:10.3390/app122312492 New window
Copyright:© 2022 by the authors
Publication date in DKUM:27.03.2025
Views:0
Downloads:0
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
JESENKO, David, KOHEK, Štefan, ŽALIK, Borut, BRUMEN, Matej, KAVRAN, Domen, LUKAČ, Niko, ŽIVEC, Andrej and PUR, Aleksander, 2022, STALITA: innovative platform for bank transactions analysis. Applied sciences [online]. 2022. Vol. 12, no. 23. [Accessed 4 April 2025]. DOI 10.3390/app122312492. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=92298
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Record is a part of a journal

Title:Applied sciences
Shortened title:Appl. sci.
Publisher:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:V2-2260-2022
Name:Integracija in analiza heterogenih podatkovnih tokov v preiskovalni platformi
Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041-2020
Name:Računalniški sistemi, metodologije in inteligentne storitve

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:platforme, grafi, preiskave


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