Intelligent Monitoring and Cryptographic Protection of Machine Code in Critical Infra-structure Systems

<jats:p>Intelligent monitoring of cyber-physical systems based on a combination of continuous observation and machine learning models to detect anomalies and enhance the proactive-ness of cyber defense is examined. The effectiveness of such approaches is determined by the quality of the data and the accuracy of the models, which are built on monitoring sys-tems where cryptographic mechanisms are integrated directly into the process of data ex-change between agents and the server. Cryptographic protection is designed to ensure the integrity of the security system at the machine code level. Algorithm verification is per-formed using test vectors in accordance with National Institute of Standards and Technol-ogy (NIST) practices. Collectively, this forms a comprehensive approach to the cyber re-silience of critical infrastructure.</jats:p>