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An Enhanced Credit Card Transaction for Outlier Fraud Detection System Using Artificial Neural Network (ANNs)
ISSN: 2348 - 2273
Publisher: author
An Enhanced Credit Card Transaction for Outlier Fraud Detection System Using Artificial Neural Network (ANNs)
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
International Journal Address (IAA):
IAA.ZONE/234853112273
eISSN
:
2348 - 2273
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Abstract
Credit card fraud (CCF) is a recurrent problem all over the world. Some countries, despite having a low or average use of credit card, have a high percentage of credit card fraud recorded. The use of credit card that is (cashless) economy is important to any growing nation. Outlier detection aims at finding patterns in data that do not conform to expected behavior in the credit card transaction; it also has extensive use in a wide variety of applications such as military surveillance for enemy activities, intrusion detection in cyber security, fraud detection for credit cards, insurance or health care and fault detection in safety critical systems. In this work, we developed an enhanced credit card transaction for outlier fraud detection system using an artificial neural network algorithm called cortical learning algorithm and customer self-strip detection (OTP, Account Number and BVN) for detecting fraud from the user (the customers)...
