Credit-card Fraud Detection System using Neural Networks

The international arab journal of information technology

article

Salwa Al Balawi¹  Njood Aljohani¹ 

[1] Faculty of Computers and Information Technology, University of Tabuk

关键词: Credit-card;    fraud detection;    machine learning;    deep learning;    neural networks;    classifications;   

DOI  :  10.34028/iajit/20/2/10

学科分类：计算机科学（综合）

来源: Zarqa University

【 摘 要 】

Recently, with the development of online transactions, the credit-card transactions begun to be the most prevalentonline payment methods. Credit-card fraud refers to the use fake Credit-Cards to purchase goods without paying. With the fastresearch and development in the area of information technology and data mining methods including the neural networks anddecision trees, to advanced machine learning and deep learning methods, researchers have proposed a wide range ofantifraud systems. Mainly, the Machine Learning (ML) and Deep Learning (DL) methods are employed to perform the frauddetection task. This paper aims to explore the existing credit-card fraud detection methods, and categorize them into two maincategories. In addition, we investigated the deployment of neural network models with credit-card fraud detection problem,since we employed the Artificial Neural Network (ANN) and Convolutional Neural Network (CNN). ANN and CNN models areimplemented and assessed using a credit-card dataset. The main contribution of this paper focuses on increasing the fraud- detection classification accuracy through developing an efficient deep neural network model.

【 授权许可】

Unknown