A Hybrid Blockchain-Integrated AI-Based Security Framework

Abstract

Cyber security is now a vital issue, as the internet changes rapidly. Keeping step with modern threats is a challenge for most classic security systems. The paper presents a new way of protecting networks and data by fusing blockchain with artificial intelligence. Thanks to its decentralized and secure structure, blockchain prevents anyone from manipulating or accessing data illegally and AI algorithms allow swift monitoring and improved defence against various attacks. Smart contracts in the hybrid framework help implement security guidelines, while machine learning is used to detect any unusual behaviours that could suggest a security threat. With this type of technology blend, the framework provides an effective and secure solution that can respond to threats coming from both inside and outside a company. It is assessed to verify the architecture's performance, if it is reliable and how well it ensures security. It has been proven that the approach significantly increases the security of cyber systems in the finance, healthcare and IoT sectors. The proposed framework achieves a detection accuracy of$\mathbf{9 8. 5 \%}$and employs smart contract-based automated threat response, making it a novel, scalable, and self-adaptive security solution.