UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Model-based Detection of Cyber-Attacks in Networked MPC-based Control Systems

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 Green open access

[thumbnail of ifac-safeprocess18.pdf]
Preview
Text
ifac-safeprocess18.pdf - Accepted Version

Download (307kB) | Preview

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
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
Downloads since deposit
238Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item