Artificial Neural Network–Based Modelling for Credit Card Fraud Analysis

Author(s)	Ms. Shweta Anil Kanojia, Dr. R. N. Jugele
Country	India
Abstract	The growing use of digital payment systems has also been a witness to the emergence, leading to a rise incredit card fraud cases. Thus, this accentuates the need for the use of effective and efficient methods for the detection offinancial fraud. This paper outlines the employment of an Artificial Neural Network technique to detect fraud in the use ofcredit cards. The proposed ANN system uses data collected from the previous use of the credit cards and, therefore, candetect patterns that exist in the data, thus separating fraud from actual transactions. In an effort to increase the suggestedANN system's accuracy and effectiveness, the usage of data pre-processing techniques, such as normalisation and classbalancing, has also been included. The proposed ANN system will mainly be evaluated using the accuracy level of thesystem. As required, the proposed system has proven effective in detecting fraud in the use of credit cards with high levels ofprecision.
Keywords	ANN, Machine Learning, Classification Accuracy, Financial Transactions, Credit Card Fraud Detection.
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-28
DOI	https://doi.org/10.63363/aijfr.2026.v07i03.5766

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