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Springer Nature Switzerland
Reference25 articles.
1. Lecture Notes in Computer Science;PP Vishwakarma,2018
2. Delecourt, S., Guo, L.: Building a robust mobile payment fraud detection system with adversarial examples. In: 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 103–106. IEEE. Sardinia (2019). https://doi.org/10.1109/AIKE.2019.00026
3. Zhou, H., Chai, H.F., Qiu, M.I.: Fraud detection within bankcard enrollment on mobile device based payment using machine learning. Front. Inf. Technol. Electron. Eng. 19(12), 1537–1545 (2018). https://doi.org/10.1631/FITEE.1800580
4. Eneji, S.E., Angib, M.U., Ibe, W.E., Ekwegh, K.C.: A study of electronic banking fraud, fraud detection and control. Int. J. Innov. Sci. Res. Technol. 4(3), 708–711 (2019)
5. Ali, M., Hussin, N., Abed, I.: E-banking fraud detection: a short review. Int. J. Innov. Creat. Change 6(8), 67–87 (2019)
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