Inferring adversarial behaviour in cyber-physical power systems using a Bayesian attack graph approach.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to define and solve the inference problem of adversarial movement in the grid infrastructure towards targets of physical impact. Probabilities were given within the referenced paper. The vertices are:
(TRUE, FALSE);
(TRUE, FALSE);
(TRUE, FALSE);
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Sahu, A., & Davis, K. (2023). Inferring adversarial behaviour in cyber-physical power systems using a Bayesian attack graph approach. IET Cyber-Physical Systems: Theory & Applications, 8(2), 91-108.