Mathematical Modeling of Cyber Resilience. (arXiv:2302.04413v1 [cs.CR])

We identify quantitative characteristics of responses to cyber compromises
that can be learned from repeatable, systematic experiments. We model a vehicle
equipped with an autonomous cyber-defense system and which also has some
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 continuous models, and develop stochastic models to aid in
quantifying systems' resilience to cyber attacks.

aid attack autonomous continuous cyber cyber resilience defense features identify malware modeling performance physical quantitative recover resilience system vehicle