Enhancing Bitcoin Fraud Detection with an Ensemble Model: A Deep Learning and Optimization-Based Approach

Experimental results indicate that the ensemble model effectively detects fraudulent transactions while addressing challenges such as high-dimensional data and class imbalance, contributes to the advancement of robust and scalable fraud detection systems for cryptocurrency networks.