Elaboration of financial fraud ontology

• Autorzy: Hussaini Adamu , Guessoum Zahia , Mercier-Laurent Eunika

Identyfikatory

DOI

10.15439/2022F35

• Konferencja: 17th Conference on Computer Science and Intelligence Systems
• Języki publikacji: EN

Abstrakty

EN

Financial Frauds have dynamically changed, the fraudsters are becoming more sophisticated.There has been an estimated global loss of 5.127 trillion each year due to various forms of financial frauds. Industries like banking, insurance, e-commerce and telecommunication are the main victims of financial frauds. Several techniques have been proposed and applied to understand and detect financial frauds. In this paper we propose an ontology to describe financial frauds and related knowledge. The aim of this ontology is to provide a semantic framework for the detection of financial frauds. Theoretical ontology has been elaborated exploring various sources of information. After describing the research objectives, related works and research methodology, this paper presents details of theoretical ontology. It is followed by its validation using real data sets. Discussion of the obtained results gives some perspectives for the future work.

Słowa kluczowe

EN

fraud; detection; ontology; concepts; class; entities; validation; dataset

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 32
• Strony: 277--285
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Hussaini Adamu

• Universite de Reims Champagne Ardenne, France. ´ (CReSTIC EA 3804, 51097 Reims, France.)

autor

Guessoum Zahia

• Universite de Reims Champagne Ardenne, France ´ (CReSTIC EA 3804, 51097 Reims, France.)

• https://orcid.org/0000-0003-2303-7263

autor

Mercier-Laurent Eunika

• Universite de Reims Champagne Ardenne, France ´ (CReSTIC EA 3804, 51097 Reims, France.)

• https://orcid.org/0000-0003-2303-7263

Bibliografia

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• 3. Helena Dudycz and Jerzy Korczak. Conceptual design of financial ontology. In 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), pages 1505-1511. IEEE, 2015.
• 4. Giannis Potamitis. Design and implementation of a fraud detection expert system using ontology-based techniques. Univ. Manchester, Manchester, UK, Tech. Rep. COMP60990, 2013.
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• 10. S Benson Edwin Raj and A Annie Portia. Analysis on credit card fraud detection methods. In 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET), pages 152-156. IEEE, 2011.
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).