Combining Machine Learning and Blockchain for Secure Data Transactions

Abstract

In recent years, the integration of Machine Learning (ML) and Blockchain technologies has emerged as a powerful solution for securing data transactions. Machine Learning algorithms can enhance blockchain's ability to detect fraudulent activities, optimize processes, and ensure data privacy. Conversely, Blockchain technology provides a decentralized and immutable ledger that guarantees the integrity of machine learning models and data. This paper explores the potential of combining ML and Blockchain for secure and efficient data transactions, focusing on key applications, security benefits, and challenges. The synergy between these two technologies promises to revolutionize industries such as finance, healthcare, and supply chain management by improving security, transparency, and efficiency.