A Novel Multi-Factor Graphical Authentication Scheme for Enhanced Digital Security
J N Benedict, Vangipuram Sravan Kiran, G R Nivetha, S Senthil Pandi · 2024
Online payment fraud detection poses a crucial threat to the security of digital transactions. We have powerful tools for detecting fraudulent activities in online payments using machine learning. Machine learning using online payment fraud detection involve several steps, including collecting data, preprocessing it, and performing feature engineering to extract important information from transaction data. The various machine learning algorithms, are logistic regression, decision trees, random forests, gradient boosting, and neural networks, are discussed in the context of fraud detection. Real-time monitoring and adaptive learning mechanisms are used to ensure timely detection and response to evolving fraud tactics. Overall online payment fraud detection system provides an efficient solution activities in ecommerce and online transactions thereby safeguarding interest of both business and consumers. It includes information from transaction data, location type and uses behavior patterns