Blockchain-Enhanced AI for Proactive Cyber Threat Detection

Blockchain-Enhanced AI for Proactive Cyber Threat Detection

Aparna Singh1, Divya Rani2, Farzana Anjum G3 , Dr Nirmala S4

1,2,3Student, Department of Computer Science

4 Professor, Department of Computer Science

AMC Engineering College, Bengaluru, Karnataka, India

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Abstract - 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.

Key Words: Artificial Intelligence (AI), Blockchain, Cybersecurity, Secure Data Sharing, Decentralized Systems, Anomaly Detection,Threat Detection, Data Integrity, Adaptive Security Policies.