Barboni, A;
Boem, F;
Parisini, T;
(2018)
Model-based Detection of Cyber-Attacks in Networked MPC-based Control Systems.
In:
IFAC-PapersOnLine.
(pp. pp. 963-968).
Elsevier
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Abstract
In this preliminary work, we consider the problem of detecting cyber-attacks in a linear system equipped with a Model Predictive Controller, where the feedback loop is closed over a non-ideal network, and the process is subject to a random Gaussian disturbance. We adopt a model-based approach in order to detect anomalies, formalizing the problem as a binary hypothesis test. The proposed approach exploits the analytical redundancy obtained by computing partially overlapping nominal system trajectories over a temporal sliding window, and propagating the disturbance distributions along them. The recorded data over such window is then used to define a probabilistic consistency index at each time step in order to make a decision about the presence of possible attacks. Preliminary simulation results show the effectiveness of the proposed attack-detection method.
Type: | Proceedings paper |
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Title: | Model-based Detection of Cyber-Attacks in Networked MPC-based Control Systems |
Event: | Safeprocess 2018, 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 29-31 August 2018, Warsaw, Poland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.ifacol.2018.09.691 |
Publisher version: | https://doi.org/10.1016/j.ifacol.2018.09.691 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Networked control, Cyber-attacks, Model-based detection, probabilistic, prediction methods, uncertain linear systems |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10051703 |




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