信用卡欺诈检测及增值税聚类算法的应用综述

A. Abdulrazaq, Muhammad Bashir Abdulrazaq, I. J. Umoh, E. A. Adedokun
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引用次数: 1

摘要

安全可靠的互联网设施的发展极大地影响了全球电子商务的发展,使网上交易更有效率,甚至在未来几十年更有前途。由于互联网的便利和可用性,使用信用卡在网上购物中变得越来越受欢迎。随着现代科技的发展,金融诈骗的方式也在迅速变化和增加,这反过来又增加了信用卡欺诈交易的水平,造成了巨大的损失。然而,已经开发了几种信用卡欺诈检测技术来解决这个问题。本文对不同的欺诈检测方法进行了综述,并根据所使用的方法进行了分类。此外,还介绍了大多数方法效率不高的主要限制和原因。此外,本文提出了将VAT算法作为聚类算法的应用,以改善信用卡检测方法的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fraud Detection in Credit Card and Application of VAT Clustering Algorithm: A Review
The evolution of secured and reliable internet facilities have greatly influence the advancement in the global e-commerce, making online transaction more efficient and even more promising for the future decades. The uses of credit card become more popular for online purchases due to the ease and availability of internets. Financial fraud pattern also changes and increases rapidly with the development of modern technology which conversely increases the level of fraudulent transactions in credit card resulting in huge losses. However, several credit card fraud detection techniques have been developed to address the problem. In this paper, different fraud detection method have been reviewed and classified based on the approaches used. Also, the major limitation and reasons why most methods are not very efficient are also presented. Furthermore, this paper proposed the application of VAT algorithm as a clustering algorithm to improve on the limitations of credit card detection methods.
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