Navigating the Terrain: A Comprehensive Survey of Credit Card Fraud Detection Techniques Using Machine Learning

Abstract

Credit card fraud poses a significant threat to the financial indus-try and consumers worldwide.As digital transactions become in-creasingly prevalent, the need for robust fraud detection systems is paramount.This study explores advanced techniques and algo-rithms employed in credit card fraud detection.Leveraging machine learning, data analytics, and real-time monitoring, the sys-tem identifies irregular patterns and behaviors, flagging suspicious transactions promptly.Additionally, biometric authentication and big data analytics enhance the security infrastructure, ensuring ac-curate and efficient fraud detection.This research contributes to the ongoing efforts to mitigate financial losses and protect consumers from fraudulent activities in the digital landscape.