Published on: April 2026
A MACHINE LEARNING APPROACH FOR FRAUD DETECTION IN ONLINE TRANSACTION
Aila Vishnu Vardhan Chityala Ganesh Janga Nikhil Kodur Sidheshwar
P. Lakshmi Priya
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Abstract
Online payment fraud detection is a critical area of research and development in the realm of financial security. With the rise of e-commerce and digital transactions, ensuring the integrity and safety of online payments has become paramount. This paper explores various methodologies and techniques employed in the detection and prevention of fraud in online payment systems. The detection of online payment fraud involves the use of advanced machine learning algorithms, anomaly detection techniques, and behavioral analytics. These methods analyze transactional data in real-time to identify suspicious patterns or anomalies that deviate from normal user behavior or transaction patterns. Additionally, the integration of artificial intelligence (AI) and deep learning models has enhanced the accuracy and efficiency of fraud detection systems by enabling them to adapt and learn from new fraud patterns continuously. The challenges associated with online payment fraud detection include maintaining a balance between security and user experience, the need for real-time decision-making, and the evolving nature of fraudulent tactics employed by cybercriminals. Effective online payment fraud detection is crucial for maintaining consumer trust, safeguarding financial transactions, and mitigating potential financial losses for businesses.
How to Cite this Paper
Vardhan, A. V., Ganesh, C., Nikhil, J. & Sidheshwar, K. (2026). A Machine Learning Approach for Fraud Detection in Online Transaction. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.956
Vardhan, Aila, et al.. "A Machine Learning Approach for Fraud Detection in Online Transaction." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.956.
Vardhan, Aila,Chityala Ganesh,Janga Nikhil, and Kodur Sidheshwar. "A Machine Learning Approach for Fraud Detection in Online Transaction." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.956.
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- •Published on: May 01 2026
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