Abstract Cyber resilience is the ability of a system to resist and recover from a cyber attack, thereby restoring the system's functionality. Effective design and development of a cyber resilient system requires experimental methods and tools for quantitative measuring of cyber resilience. This paper describes an experimental method and test bed for obtaining resilience-relevant data as a system (in our case – a truck) traverses its route, in repeatable, systematic experiments. We model a truck equipped with an autonomous cyber-defense system and which also includes inherent physical resilience features. When attacked by malware, this ensemble of cyber-physical features (i.e., “bonware”) strives to resist and recover from the performance degradation caused by the malware's attack. We propose parsimonious mathematical models to aid in quantifying systems’ resilience to cyber attacks. Using the models, we identify quantitative characteristics obtainable from experimental data, and show that these characteristics can serve as useful quantitative measures of cyber resilience.

Michael J. Weisman

Alexander Kott

Jason E. Ellis

Brian J. Murphy

Travis W. Parker

Sidney Smith

Joachim Vandekerckhove

ACM Transactions on Cyber-Physical Systems

Quantitative Measurement of Cyber Resilience: Modeling and Experimentation

网络弹性定量测量：建模与实验

Quantitative Measurement of Cyber Resilience: Modeling and Experimentation

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	3