Experimenting with anomaly detection features for performance
Considering relative detection performance using different feature sets, and different anomalies of interest, in the face
of varying attacks. Conducted with a view to exploring the minimal sets that would result in the threat detection, and producing
guidance that is aimed at determining the critical datasets required for the control to be effective.