A Hybrid Blockchain Framework for Advanced Cybersecurity Design and Performance Evaluation

Abstract

This study employs a multi-faceted methodology to investigate the integration of Blockchain and Artificial Intelligence (AI) in enhancing cybersecurity frameworks. The research design encompasses data collection, algorithm development, system implementation, and performance evaluation, structured to ensure a rigorous and comprehensive analysis. The data utilized in this study comprises publicly available cybersecurity datasets, proprietary incident reports, and simulated attack scenarios. Public datasets such as the CICIDS2017 and UNSW-NB15 provide diverse and comprehensive records of network traffic, including normal and malicious activities. Proprietary incident reports from collaborating cybersecurity firms offer insights into real-world attack vectors and defense mechanisms. Additionally, simulated attack scenarios are created to test the systems under controlled conditions, ensuring the robustness of the proposed solutions.