Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics

Saad M. Darwish, Amr Ibrahim Salama, Adel A. Elzoghabi

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DOI: 10.1038/s41598-025-01223-8
Published: 2025-05-23
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-01223-8,
  title = {Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics},
  author = {Saad M. Darwish and Amr Ibrahim Salama and Adel A. Elzoghabi},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-01223-8},
  url = {https://doi.org/10.1038/s41598-025-01223-8}
}

RIS

TY  - JOUR
TI  - Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics
AU  - Saad M. Darwish
AU  - Amr Ibrahim Salama
AU  - Adel A. Elzoghabi
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-01223-8
UR  - https://doi.org/10.1038/s41598-025-01223-8
ER  -

APA

Darwish, S. M., Salama, A. I., & Elzoghabi, A. A. (2025). Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics. Scientific Reports. https://doi.org/10.1038/s41598-025-01223-8

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crossref · retrieved 2026-09-25T16:33:26.500Z