Table 3 Evaluation methodology results using FB pipeline measures
From: Enabling data-driven anomaly detection by design in cyber-physical production systems
Test scenarios | Complexity | Maintainability | |||||||
|---|---|---|---|---|---|---|---|---|---|
\(S*\) | % | \(DC*\) | % | \(C*\) | % | MI | % | ||
(I) | A-HIDS | 16 | – | 0.65 | – | 16.65 | – | 100.12 | – |
Secure links (average) | 23.8 | – | 20.6 | – | 44.4 | – | 75.68 | – | |
Secure links (best) | 8 | – | 3.8 | – | 11.8 | – | 85.76 | – | |
(II) | CPPS testbed | 1444 | 22.16 | 0.04 | 0 | 1444.4 | 22.16 | 124.93 | 23.57 |
CPPS testbed with A-HIDS | 1764 | 0.04 | 1764.04 | 95.49 | |||||
(III) | IMCS | 8 | 0 | 29.6 | 40.54 | 37.6 | 31.91 | 93.51 | 4.49 |
IMCS with secure links | 8 | 41.6 | 49.6 | 89.31 | |||||
(IV) | BHS | 196 | 0 | 37 | 227.03 | 233 | 36.05 | 42.19 | 0.28 |
BHS with secure links | 196 | 121 | 317 | 42.07 | |||||