Blockchain-Enhanced AI for Proactive Cyber Threat Detection

In the evolving landscape of cybersecurity, traditional defenses often fail to counter sophisticated threats effectively. This research presents the AI Cyber-Chain model, a novel integration of AI and Blockchain technologies aimed at creating a more resilient and intelligent cybersecurity framework. By leveraging AI’s real-time threat detection and adaptive learning capabilities alongside Blockchain’s decentralized, immutable data storage, AI Cyber-Chain ensures secure data sharing, enhanced privacy, and robust incident response mechanisms. Our model incorporates blockchain-based data ownership validation, incentivized data sharing, and AI-driven anomaly detection to improve security across complex cyber-physical systems. Simulations conducted on Ethereum’s Rinkeby test network demonstrate that AI Cyber-Chain accelerates authentication by 1.8 times and reduces gas consumption by up to 25% compared to centralized models. Furthermore, the system’s adaptive smart contracts dynamically adjust security policies in response to emerging threats, significantly enhancing network resilience. This work contributes a comprehensive framework that addresses critical challenges in cybersecurity, offering practical insights and deployment strategies for researchers and industry practitioners.