基于人工神经网络的信用卡欺诈检测

Ferhat YEŞİLYURT, Hasan TEMURTAŞ, Çiğdem BAKIR
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引用次数: 0

摘要

随着互联网的发展,数字技术在我们生活中的每时每刻都被频繁使用。我们在日常生活中进行的许多货币交易,如购物,现在都是数字化的。随着世界数字化的发展,人们的生活变得更加容易,人们可以在短时间内获得不同的产品。特别是,人们不用在口袋里揣着现金就可以用信用卡快速方便地消费和购物。然而,随着信用卡使用的增加,也存在一些安全漏洞。欺诈者可以通过获取某些信用卡信息(如密码)来获得不公平的优势。他们可以在未经允许的情况下用别人的信用卡购物。这些交易给个人和机构造成了巨大的财务损失。随着科技的发展,信用卡的使用越来越多,这类信用卡诈骗也在迅速增加。防范信用卡诈骗是保障人们安全的一个重要问题。因此,为了确保提供信用卡服务的银行和金融机构的安全,有必要防止信用卡欺诈,并在打击欺诈的范围内发现信用卡可能发生的欺诈行为。在我们的研究中,人工神经网络被用于检测信用卡欺诈交易。利用人工神经网络建立了信用卡交易欺诈的预测模型。利用从Kaggle数据库中获取的信用卡数据集,采用前馈人工神经网络方法进行建模。这项研究的目的是自动检测信用卡的异常行为。前馈人工神经网络的成功率为98.44%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Credit Card Fraud with Artificial Neural Networks
Along with the Internet, digital technologies are frequently used in every moment of our lives. Many transactions that we carry out in monetary terms such as shopping in our daily life are now done digitally. With the developing digitalization in the world, people's lives become easier and people can access different products in a short time. In particular, people can spend and shop quickly and easily without carrying cash in their pockets with a credit card. However, with the increase in the use of credit cards, there are also some security vulnerabilities. Fraudsters can gain unfair advantage by obtaining certain credit card information such as passwords. They can shop with someone else's credit card without permission. These transactions cause substantial financial damage to individuals and institutions. With the increase in the use of credit cards with the developing technology, such credit card fraud is also increasing rapidly. Taking precautions against credit card fraud is a very important issue in order to ensure the safety of people. For this reason, in order to ensure the security of both banks and financial institutions that provide credit card services, it is necessary to prevent credit card fraud and to detect fraud that may occur in credit cards within the scope of combating fraud. In our study, Artificial Neural Networks were used to detect credit card fraud transactions. A prediction model has been developed to detect fraud in credit card transactions with ANN. Using the Credit Card data set obtained from the Kaggle database, modeling was done with the Feed Forward Artificial Neural Network method. The aim of this study is to automatically detect abnormal behaviors made with credit cards. 98.44% success was achieved with feedforward artificial neural network.
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