Securing Blockchain Database System: An Integrated Approach Using PCA and Isolation Forest for Intrusion Detection

This project presents a blockchain-based system fortified with anomaly detection using Principal Component Analysis (PCA) and Isolation Forest. Leveraging Flask for web application development and MySQL for data storage, the system offers robust security measures. The application dynamically detects anomalies in blockchain data, enhancing overall system integrity. Triggers in the MySQL database log changes for comprehensive monitoring. Through this amalgamation of blockchain technology, deep learning techniques, and web development, the project provides a versatile framework for secure and anomaly-resistant blockchain applications. The presented approach contributes to advancing blockchain security paradigms with real-time anomaly detection capabilities.