Author:
Kumar Dhanisht,Srivastava Harshit,Bhamare Kartik S.,Kumar Malay
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Digital Payment Methods. Ministry of Electronics and Information Technology, Government of India. http://cashlessindia.gov.in/digital_payment_methods.html. Accessed on 13 Sep 2023
2. Federal Trade Commission. New FTC Data Show Consumers Reported Losing Nearly $88 Billion to Scams in 2022. Press release (2023). https://www.ftc.gov/news-events/news/press-releases/2023/02/new-ftc-data-show-consumers-reported-losing-nearly-88-billion-scams-2022
3. Alarfaj, F.K., Malik, I., Khan, H.U., Almusallam, N., Ramzan, M., Ahmed, M.: Credit card fraud detection using state-of-the-art machine learning and deep learning algorithms. IEEE Access 9, 50090–50100 (2021). https://doi.org/10.1109/ACCESS.2021.3061626.(GB)
4. Zhang, X., Han, Y., Xu, W., Wang, Q.: HOBA: a novel feature engineering methodology for credit card fraud detection with a deep learning architecture. Knowl.-Based Syst. 161, 145–154 (2019). https://doi.org/10.1016/j.knosys.2018.09.017
5. Taha, A.A., Malebary, S.J.: An intelligent approach to credit card fraud detection using an optimized light gradient boosting machine. IEEE Access 9, 51989–51999 (2021). https://doi.org/10.1109/ACCESS.2021.3072879