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Enhancing Payment Security in Ukrainian E-Commerce: A Model-Based Approach to Chargeback Risk Management Cover

Enhancing Payment Security in Ukrainian E-Commerce: A Model-Based Approach to Chargeback Risk Management

Open Access
|Jul 2025

References

  1. Guo R., Wang S., Zhang H. A Payment Fraud Detection Model Based on Behavior Features and Transaction Patterns. IEEE Access. 2018;6:77114-77123.
  2. Liu D., Lee J. Blockchain and Machine Learning Integration for Fraud Detection in Financial Systems. Journal of Financial Innovation. 2022;8(2):134–147.
  3. Caldeira J.F., Moura G.V., Santos M.A. Fraud Detection in E-Commerce Using Neural Networks and Decision Trees. In: Silva A., ed. Proceedings of the 12th International Conference on E-Business. Lisbon: IADIS Press; 2014. 89–95.
  4. Mints A., Pavliuk D., Shlapak V. Challenges of Chargeback Management in Ukrainian Online Retail: Legal and Operational Perspective. Ukrainian Journal of E-Commerce. 5(1): 2022, 12–21.
  5. Saputra A., Suharjito. Fraud Detection using Machine Learning in e-Commerce. International Journal of Advanced Computer Science and Applications. 10(9): 2019, 332–339.
  6. Ray S. Fraud Detection in E-Commerce Using Machine Learning. BOHR International Journal of Advances in Management Research. 1(1): 2022, 7–14.
Language: English
Page range: 46 - 52
Published on: Jul 5, 2025
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Kira Horiacheva, Yuliia Turchenko, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.