A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection
Joint Authors
Wang, Pengwei
Zhang, Zhaohui
Zhou, Xinxin
Zhang, Xiaobo
Wang, Lizhi
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Using wireless mobile terminals has become the mainstream of Internet transactions, which can verify the identity of users by passwords, fingerprints, sounds, and images.
However, once these identity data are stolen, traditional information security methods will not avoid online transaction fraud.
The existing convolutional neural network model for fraud detection needs to generate many derivative features.
This paper proposes a fraud detection model based on the convolutional neural network in the field of online transactions, which constructs an input feature sequencing layer that implements the reorganization of raw transaction features to form different convolutional patterns.
Its significance is that different feature combinations entering the convolution kernel will produce different derivative features.
The advantage of this model lies in taking low dimensional and nonderivative online transaction data as the input.
The whole network consists of a feature sequencing layer, four convolutional layers and pooling layers, and a fully connected layer.
Verifying with online transaction data from a commercial bank, the experimental results show that the model achieves excellent fraud detection performance without derivative features.
And its precision can be stabilized at around 91% and recall can be stabilized at around 94%, which increased by 26% and 2%, respectively, comparing with the existing CNN for fraud detection.
American Psychological Association (APA)
Zhang, Zhaohui& Zhou, Xinxin& Zhang, Xiaobo& Wang, Lizhi& Wang, Pengwei. 2018. A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214229
Modern Language Association (MLA)
Zhang, Zhaohui…[et al.]. A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection. Security and Communication Networks No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214229
American Medical Association (AMA)
Zhang, Zhaohui& Zhou, Xinxin& Zhang, Xiaobo& Wang, Lizhi& Wang, Pengwei. A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214229
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214229