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S. Monteith, M. Bauer, M. Alda, J. Geddes, P. C. Whybrow, and T. Glenn, Increasing cybercrime since the pandemic: Concerns for psychiatry, Curr. Psychiatry Rep., vol. 23, no. 4, p. 18, 2021.
S. Kodate, R. Chiba, S. Kimura, and N. Masuda, Detecting problematic transactions in a consumer-to-consumer e-commerce network, Appl. Netw. Sci., vol. 5, no. 1, p. 90, 2020.
R. Samani and G. Davis, McAfee mobile threat report, https://www.mcafee.com/enterprise/en-us/assets/reports/rp-mobile-threat-report-2019.pdf, 2019.
E. W. T. Ngai, Y. Hu, Y. H. Wong, Y. Chen, and X. Sun, The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature, Decis. Support Syst., vol. 50, no. 3, pp. 559–569, 2011.
Sam Smith and Juniper Research, Online payment fraud: Market forecasts, emerging threats & segment analysis 2022-2027, https://www.juniperresearch.com/press/losses-online-payment-fraud-exceed-362-billion/, 2024.
A. Abdallah, M. A. Maarof, and A. Zainal, Fraud detection system: A survey, J. Netw. Comput. Appl., vol. 68, pp. 90–113, 2016.
Sam Smith and Juniper Research, Online payment fraud: Market forecasts, emerging threats & segment analysis. 2024.