使用多阶段检测的硬包装ATM借记卡欺诈检测

Manish Thakral, Rishi-Raj Singh, Ayur Jain, Gunjan Chhabra
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引用次数: 0

摘要

今天的许多日常交易都是在先进的“瘦身钱包”技术的帮助下进行的。由于需要定期更新创新,它们需要经常改进。世纪之交新技术的出现使一些关键性的发明(如银行卡)完全纠缠在一起。然而,由于银行卡使用的增加,存在一些缺陷。在这个骗局中,单身人士试图伪造付款。预计2019年,信用卡欺诈将给全球造成742.6亿卢比的损失。因此,为了找到解决这个问题的办法,世界各地的人们已经开始寻找发现可疑交易的方法。我们正试图利用机器学习中的动态缺陷来解决这个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rigid Wrap ATM Debit Card Fraud Detection Using Multistage Detection
Many of today’s daily transactions are conducted with the assistance of advanced “slim wallet” technologies. Due to the need to update innovations on a regular basis, they need to be frequently improved. The advent of new technologies at the turn of the century brought about the complete entanglement of a few pivotal inventions (such as the bank card). However, owing to the increased use of bank cards, there are some flaws to be found. In this scheme, singles attempt to forge payments. Card fraud is projected to cost the world Rs 74.26 billion in 2019. Thus, to find a solution to this problem, people around the world have begun looking for ways to spot suspicious transactions. We are attempting to fix this problem using dynamic flaws in machine learning.
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