Digital Currency

Digital currencies are decentralized electronic payment systems aiming to provide secure and efficient transactions independent of traditional financial institutions. Current research focuses on improving security against attacks like double-spending and selfish mining, often employing machine learning techniques such as learning automata and graph neural networks for fraud detection and enhanced transaction validation. These advancements are crucial for addressing the volatility and security concerns associated with digital currencies, impacting both financial markets and the development of novel applications in areas like voting and supply chain management. Furthermore, research is actively exploring improved forecasting models, incorporating diverse data sources to predict price fluctuations more accurately.