Enhancing Blockchain Security and Efficiency with Machine Learning

Blockchain technology has revolutionized industries by providing decentralized, transparent, and secure systems for transactions and data management.However, challenges such as scalability, energy consumption, and security vulnerabilities still hinder its widespread adoption.This paper explores the integration of machine learning (ML) to enhance the security and efficiency of blockchain networks.By leveraging ML algorithms, blockchain systems can improve fraud detection, optimize consensus mechanisms, and reduce resource consumption.Machine learning offers advanced capabilities in anomaly detection, enabling realtime identification of cyber threats, which strengthens the security of decentralized applications and smart contracts.