Model Based Resilience Engineering for Design and Assessment of Mission Critical Systems Containing Artificial Intelligence Components

Critical system resilience is a focus point in risk management due to the severe consequences of system failure. As such critical systems become increasingly cyber-physical, cybersecurity vulnerabilities also play a more significant role in system analysis. Now, as the world turns to Artificial Intelligence (AI)-based solutions, the novel vulnerabilities in AI and other black box components add a complexity dimension to the assessment of cyber-physical critical system analysis. This chapter provides a closer look at a Model Based Systems Engineering (MBSE) approach to assess and design the resilience of complex systems throughout their life cycle. As a case study of a system of systems comprised of Unmanned Aerial Systems (UASs) and Unmanned Surface Vessels (USVs) for littoral zone patrol is presented with a focus on system resilience under a national security mission