Research on the Application of Blockchain Combined with Random Forest Algorithm in IoT Data Sharing

This paper presents a novel approach to enhance data security and processing efficiency in smart home systems by integrating blockchain technology with the random forest algorithm. By leveraging the Hyperledger Fabric platform, we implemented smart contracts to securely manage data transmission and storage, while the random forest algorithm was utilized for accurate data classification and prediction. The experimental results demonstrate that this integrated approach significantly improves data integrity and immutability, achieving high classification accuracy and system efficiency. The findings highlight the potential of combining blockchain and machine learning techniques to create a robust and reliable solution for managing and processing data in smart home environments.