How to Measure Cyber Resilience of an Autonomous Agent: Approaches and Challenges
This work addresses the need for better cyber resilience metrics in autonomous systems, but it is incremental as it reviews existing approaches and suggests future research without presenting new methods or results.
The paper tackles the problem of measuring cyber resilience in autonomous agents, highlighting limitations in existing assessment approaches and proposing research directions for developing effective measures.
Several approaches have been used to assess the performance of cyberphysical systems and their exposure to various types of risks. Such assessments have become increasingly important as autonomous attackers ramp up the frequency, duration and intensity of threats while autonomous agents have the potential to respond to cyber-attacks with unprecedented speed and scale. However, most assessment approaches have limitations with respect to measuring cyber resilience, or the ability of systems to absorb, recover from, and adapt to cyberattacks. In this paper, we provide an overview of several common approaches, discuss practical challenges and propose research directions for the development of effective cyber resilience measures.