Blockchain-Enabled Real-Time Intrusion Detection Framework for a Cyber-Physical System

In today's world, Cyber-Physical Systems (CPS) are facing growing risks from cyberattacks. In this paper we propose an idea of blockchain-enabled CPS framework to enhance our Cyber Physical system security. The framework we are aiming uses blockchain for immutable data storage and AI-driven intrusion detection. It aims to detect threats in real time and trigger automated responses in conditions of any unnoticed activity detected. This system and framework goal is to ensure data integrity, availability, and rapid threat mitigation. This paper outlines the design principles, architecture, and workflow of the proposed framework. We also discuss the potential of combining blockchain and AI for Cyber physical system security, addressing challenges like real-time performance, decentralized storage, and automated responses.