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@inproceedings{Barboni:2018:10.1016/j.ifacol.2018.09.691,
author = {Barboni, A and Boem, F and Parisini, T},
doi = {10.1016/j.ifacol.2018.09.691},
pages = {963--968},
publisher = {Elsevier},
title = {Model-based detection of cyber-attacks in networked MPC-based control systems},
url = {http://dx.doi.org/10.1016/j.ifacol.2018.09.691},
year = {2018}
}

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TY  - CPAPER
AB  - 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.
AU  - Barboni,A
AU  - Boem,F
AU  - Parisini,T
DO  - 10.1016/j.ifacol.2018.09.691
EP  - 968
PB  - Elsevier
PY  - 2018///
SN  - 2405-8963
SP  - 963
TI  - Model-based detection of cyber-attacks in networked MPC-based control systems
UR  - http://dx.doi.org/10.1016/j.ifacol.2018.09.691
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447016900142&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/86300
ER  -

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