Optimal cybersecurity framework for smart water system: Detection, localization and severity assessment

>98%. It ranks first among machine learning solutions, with a combined detection accuracy exceeding 95% for both models. Additionally, an attack localization framework is developed to identify the most affected regions of the water network, and an attack severity index is formulated for resource planning and decision-making, evaluated on "C-Town" benchmark, a commonly used water network for cybersecurity studies.