PERFORMANCE ANALYSIS OF A BLOCKCHAINENABLED REAL-TIME INTRUSION DETECTION FRAMEWORK FOR CYBER-PHYSICAL SYSTEMS

Cyber-physical systems (CPS) play an important role in modern infrastructure, bridging the gap between arithmetic intelligence and physical processes. However, it shows a cyber threat to interconnected properties and requires a robust mechanism for intrusion recognition mechanisms in real time. This article introduces a blockchain enabled real-time intrusion detection framework with secure logging, operational prevention data storage, and improved system monitoring. This framework pursues system activities such as USB incidents, file changes, process design, and network traffic. By using blockchain, the system ensures data integrity, transparency, and resistance to log manipulation, preventing attackers from altering forensic evidence. This shows that it is effective in evaluating efforts in productivity, safety and arithmetic of the proposed system, minimizing resource consumption and reducing cyber threats. The result is a promising approach to future cyber security applications by emphasizing the implementation and advantages of the blockchain when protecting the CPS environment.