Cost-sensitive metaheuristic technique for credit card fraud detection
Author:
Affiliation:
1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Sector 16 C, Dwarka, New Delhi 110078, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1809090
Reference25 articles.
1. Report, E. F. Fifth European Fraud Report. European Fraud Report https://www.nets.eu/solutions/fraud-and-dispute-services/Documents/Nets-Fraud-Report-2019.pdf (2018).
2. SACM, C. SCAM WATCH 33,000 cases of credit card fraud reported in just six months. The Sun News https://www.thesun.co.uk/money/7040706/33000-credit-card-fraud-cases-reported-sixmonths/.
3. Lebichot, B., Le Borgne, Y.A., He-Guelton, L., Oblé, F. & Bontempi, G. Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. in INNS Big Data and Deep Learning conference 78–88 (2019).
4. Singh, A. & Jain, A. A Novel Framework for Credit Card Fraud Prevention and Detection (CCFPD) Based on Three Layer Verification Strategy. in Proceedings of ICETIT 2019 935–948 (Springer, 2020).
5. Singh, A. & Jain, A. Study of cyber-attacks on cyber-physical system. in Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT) 26–27 (2018).
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