POSTER: A Deep Learning Method for Fraud Detection in Financial Systems

被引：1

作者：

Ogrek, Mahmut ^{[1
]}

Ogrek, Eyup ^{[1
]}

Bahtiyar, Serif ^{[1
]}

机构：

[1] Istanbul Tech Univ, Dept Comp Engn, TR-34469 Istanbul, Turkey

来源：

PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19) | 2019年

关键词：

Fraud detection; neural networks; security; financial system;

D O I：

10.1145/3317549.3326299

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Credit card fraud has been a significant challenge ever since forgers have been inventing new ways to steal money. Thus, adaptive fraud detection methods are required to counter the forgers. Deep learning methods have been attractive candidates because of their adaptive nature to detect emerging credit card frauds. In this paper, we propose a deep learning method to adaptively detect credit card frauds by using neural networks. We experimentally evaluated our model with Kaggle dataset. The analyses results show that our methods adaptively detect credit card frauds.

引用

页码：298 / 299

页数：2

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