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bnRep (version 0.0.3)

intentionalattacks: intentionalattacks Bayesian Network

Description

Probability elicitation for Bayesian networks to distinguish between intentional attacks and accidental technical failures.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network modeling a floodgate in the Netherlands. Probabilities were given within the referenced paper. The vertices are:

X1

Weak physical access-control (True, False);

X2

Sensor data integrity verification (True, False);

U1

Lack of physical maintenance (True, False);

U2

Well-written maintenance procedure (True, False);

Y

Major cause for sensor sends incorrect water level measurements (Intentional Attack, Accidental Technical Failure);

Z1

Abnormalities in the other locations (True, False);

Z2

Sensor sends correct water level measurements after cleaning the sensor (True, False)

Z3

Sensor sends correct water level measurements after recalibrating the sensor (True, False);

References

Chockalingam, S., Pieters, W., Teixeira, A. M., & van Gelder, P. (2023). Probability elicitation for Bayesian networks to distinguish between intentional attacks and accidental technical failures. Journal of Information Security and Applications, 75, 103497.