PREVENTING ONLINE PAYMENT FRAUD: A MACHINE LEARNING APPROACH FOR PREDICTIVE MODELING AND RISK ASSESSMENT
DOI:
https://doi.org/10.17605/OSF.IO/N5GDUAbstract
The size of online transactions is always growing due to the Internet's quick growth of technology. The problem of associated network transaction fraud has also gotten worse at the same time. The properties of the network transaction—low cost, extensive reach, and high frequency—make it more difficult to identify fraud. The practice of making payments online is becoming increasingly popular as we move closer to modernity. Online payments are particularly advantageous for the buyer since they save time and address the issue of free money. We also don't need to bring any cash with us. But as we all know, good things often come with negative things.
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