A Security Model for Real‑Time Fraud Detection and Prevention in Digital Payment Platforms Using Neural Networks and Blockchain
The findings indicate that neural architectures particularly recurrent networks, autoencoders, transformers, and graph neural networks provide superior adaptability to evolving fraud behaviour compared with static rule-based systems, but their operational deployment is constrained by class imbalance, concept drift, and...