Towards Implementing and Analyzing the Adaptive Cognitive Digital Twins Architecture for Achieving Resilient Healthcare Infrastructures and Services

The healthcare sector profoundly influences humanity, society, and the global economy, as every individual requires healthcare services at some point in their life. This demand is particularly significant with the growing elderly population, driven by continuous advancements in medical science and technology. However, cyberattacks targeting healthcare infrastructures and services are increasing, as attackers can derive considerable financial gains from successful breaches. This trend underscores the need for research focused on achieving resilient healthcare infrastructures and services. In this context, an innovative architecture, introduced at SUNRISE 2024 and termed the Adaptive Cognitive Digital Twins (ACDT) architecture, is proposed to enhance the resilience of healthcare systems. This paper investigates methods for modeling the ACDT architecture, explores mechanisms that can be integrated to implement resilient healthcare infrastructures and services, and identifies suitable metrics for evaluating their resilience. Consequently, this work constitutes an important step toward translating the conceptual ACDT architecture into real-world applications.