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We model a vehicle equipped with an autonomous cyber-defense system inaddition to its inherent physical resilience features. When attacked, thisensemble of cyber-physical features (i.e., ``bonware'') strives to resist andrecover from the performance degradation caused by the malware's attack. Wemodel the underlying differential equations governing such attacks forpiecewise linear characterizations of malware and bonware, develop a discretetime stochastic model, and show that averages of instantiations of thestochastic model approximate solutions to the continuous differential equation.We develop a theory and methodology for approximating the parameters associatedwith these equations.

Piecewise Linear and Stochastic Models for the Analysis of Cyber Resilience