Predicting Mobile Money Transaction Fraud using Machine Learning Algorithms
Reference58 articles.
1. Aron J. Mobile Money and the Economy: A Review of the Evidence. The World Bank Research Observer. 2018 Aug 1;33(2):135–88.
2. Reaves B, Bowers J, Scaife N, Bates A, Bhartiya A, Traynor P, et al. Mo(bile) Money, Mo(bile) Problems: Analysis of Branchless Banking Applications. ACM Trans Priv Secur. 2017 Aug 11;20(3):1–31.
3. Zhdanova M, Repp J, Rieke R, Gaber C, Hemery B. No Smurfs: Revealing Fraud Chains in Mobile Money Transfers. In: 2014 Ninth International Conference on Availability, Reliability and Security [Internet]. Fribourg, Switzerland: IEEE; 2014 [cited 2022 Sep 21]. p. 11–20. Available from: http://ieeexplore.ieee.org/document/6980259/
4. Rieke R, Zhdanova M, Repp J, Giot R, Gaber C. Fraud Detection in Mobile Payments Utilizing Process Behavior Analysis. In: 2013 International Conference on Availability, Reliability and Security [Internet]. Regensburg, Germany: IEEE; 2013 [cited 2022 Sep 21]. p. 662–9. Available from: https://ieeexplore.ieee.org/document/6657303/
5. Nyamtiga BW, Sam A, Laizer LS. Enhanced Security Model For Mobile Banking Systems In Tanzania. 2013;1(4):17.