adversarialbehavior {bnRep} | R 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.
[Package bnRep version 0.0.1 Index]