adversarialbehavior: adversarialbehavior Bayesian Network

adversarialbehaviorR Documentation

adversarialbehavior Bayesian Network

Description

Inferring adversarial behaviour in cyber-physical power systems using a Bayesian attack graph approach.

Format

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:

RemoteAdversary

(TRUE, FALSE);

RootAccessFTPServer

(TRUE, FALSE);

FTPBasedBufferOverflow

(TRUE, FALSE);

RemoteBufferOverflowOnSSHDaemon

(TRUE, FALSE);

Value

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

References

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.


bnRep documentation built on April 12, 2025, 1:13 a.m.