Machine Learning for Cyber-Physical Systems Security: A Review
Enhancing cyber-physical systems security: A comprehensive machine learning review
Cyber-physical systems (CPS) represent a convergence of physical processes and computational algorithms, playing a pivotal role in various critical domains such as industrial control systems, healthcare, transportation, and smart infrastructure. With the increasing complexity and connectivity of these systems, ensuring their security becomes a paramount concern. Machine learning (ML) has emerged as a powerful tool in bolstering…