A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach

Autor:	Chamanbaz, Mohammadreza, Dabbene, Fabrizio, Bouffanais, Roland
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Systems and Control Mathematics - Optimization and Control
Zdroj:	ANZCC 2019, IEEE Australian & New Zealand Control Conf., November 27-29, 2019, Auckland, New Zealand, pp. 18-23
Druh dokumentu:	Working Paper
DOI:	10.1109/ANZCC47194.2019.8945588
Popis:	In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augment the model predictive controller with an additional constraint requiring the future---in some steps ahead---trajectory of the system to remain in some time-invariant neighborhood of a properly designed reference trajectory. At any sampling time, we compare the real-time trajectory of the system with the designed reference trajectory, and construct a residual. The residual is then used in a nonparametric cumulative sum (CUSUM) anomaly detector to uncover FDI attacks on input and measurement channels. The effectiveness of the proposed approach is tested with a nonlinear model regarding level control of coupled tanks. Comment: Accepted for publication in the 2019 Australian & New Zealand Control Conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1910.03162 Zobrazit plný text záznamu View this record from Arxiv