Credit card fraud detection using ANN

Title

Credit card fraud detection using ANN

Creator

Oumar A.W.; Peter A.D.

Description

Fraud on its own was and is devastating a lot of businesses, be them small or large. Particularly in the field of finance where we can see constant attacks on both individuals and enterprises alike. As such, credit cards are the most targeted as they are linked to both personal information and accounts. It is also evident to say that credit card fraud detection research is very much needed to deter and mitigate the impact of fraud on the financial field in general. It is important to identify frauds before it is too late so that the stolen credit card cannot be used for fraudulent transactions. To effectively detect these fraud transactions, we use a data consisting of fraudulent and non-fraudulent transactions to create a model that classifies these transactions with a high accuracy based on a machine learning technique. We used Artificial Neural Network with Logistic Regression to measure and in order to achieve high accuracy, we refined the parameters using the algorithms Back-propagation which has proved to have a high accuracy rate giving the model the ability to distinguish a fraudulent transaction from a normal one. BEIESP.

Source

International Journal of Innovative Technology and Exploring Engineering, Vol-8, No. 7, pp. 313-316.

Date

2019-01-01

Publisher

Blue Eyes Intelligence Engineering and Sciences Publication

Subject

Artificial neural networks; Backpropagation; Credit card fraud; Logistic regression

Coverage

Oumar A.W., CHRIST (Deemed to be University), Bengaluru, India; Peter A.D., CHRIST (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 22783075

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067842580&partnerID=40&md5=8151ceb9015e269a894386de4e4e1fb5