Payment System

Payment systems are undergoing significant evolution, driven by the need for enhanced security, efficiency, and scalability across diverse applications, from online transactions to grassroots cryptocurrencies. Current research focuses on improving fraud detection using advanced machine learning models like XGBoost and LightGBM, optimizing resource allocation through techniques such as reinforcement learning and discrete optimal control, and developing novel, efficient protocols for distributed transaction processing, including those based on DAG-like structures. These advancements aim to improve the security, speed, and cost-effectiveness of payment systems, impacting both financial institutions and the broader digital economy.