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- Title
Detection of Multiplicative False Data Injection Cyberattacks on Process Control Systems via Randomized Control Mode Switching.
- Authors
Narasimhan, Shilpa; Ellis, Matthew J.; El-Farra, Nael H.
- Abstract
A fundamental problem at the intersection of process control and operations is the design of detection schemes monitoring a process for cyberattacks using operational data. Multiplicative false data injection (FDI) attacks modify operational data with a multiplicative factor and could be designed to be detection evading without in-depth process knowledge. In a prior work, we presented a control mode switching strategy that enhances the detection of multiplicative FDI attacks in processes operating at steady state (when process states evolve within a small neighborhood of the steady state). Control mode switching on the attack-free process at steady-state may induce transients and generate false alarms in the detection scheme. To minimize false alarms, we subsequently developed a control mode switch-scheduling condition for processes with an invertible output matrix. In the current work, we utilize a reachable set-based detection scheme and use randomized control mode switches to augment attack detection capabilities. The detection scheme eliminates potential false alarms occurring from control mode switching, even for processes with a non-invertible output matrix, while the randomized switching helps bolster the confidentiality of the switching schedule, preventing the design of a detection-evading "smart" attack. We present two simulation examples to illustrate attack detection without false alarms, and the merits of randomized switching (compared with scheduled switching) for the detection of a smart attack.
- Subjects
PROCESS control systems; CYBERTERRORISM; FAILURE mode &; effects analysis; FALSE alarms; DETECTION alarms
- Publication
Processes, 2024, Vol 12, Issue 2, p327
- ISSN
2227-9717
- Publication type
Article
- DOI
10.3390/pr12020327