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Kumar, Indurthi Ravindra
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Modern machine learning and deep learning algorithms for preventing credit card frauds Kumar, Indurthi Ravindra; Hameed, Shaik Abdul; Annapurna, Bala; Paladugu, Rama Krishna; Narayana Reddy, Veeramreddy Surya; Kaveti, Kiran Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i3.pp1673-1680

Abstract

Credit card fraud poses a significant threat to financial institutions and consumers, particularly in the context of online transactions. Conventional rule-based systems often struggle to keep pace with the evolving tactics of fraudsters. This research paper investigates the application of advanced machine learning and deep learning algorithms for credit card fraud detection. By reviewing existing methodologies and addressing the challenges associated with fraud detection, we explore the potential of stateof-the-art techniques in enhancing detection accuracy and efficiency. Key aspects such as transaction data analysis, feature engineering, model evaluation metrics, and practical implementations are discussed. The findings underscore the importance of leveraging advanced algorithms to combat fraudulent activities effectively, thereby safeguarding the integrity of online transactions.
Co-Authors Annapurna, Bala Hameed, Shaik Abdul Kaveti, Kiran Kumar Narayana Reddy, Veeramreddy Surya Paladugu, Rama Krishna