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Generalized Attack Model for Networked Control Systems, Evaluation of Control Methods

Intelligent Control and Automation 2017年第3期8卷 164-174页

作者： Arman Sargolzaei Kang Yen Mohamed Abdelghani Alireza Abbaspour Saman Sargolzaei Department of Electrical Engineering Florida Polytechnic University Lakeland FL USA Department of Electrical and Computer Engineering Florida International University Miami FL USA Department of Mathematics and Statistical Sciences University of Alberta Edmonton Canada Department of Neurosurgery University of California Los Angeles Los Angeles CA USA

Networked Control Systems (NCSs) have been implemented in several different industries. The integration with advanced communication networks and computing techniques allows for the enhancement of efficiency of industrial control systems. Despite all the advantages that NCSs bring to industry, they remain at risk to a spectrum of physical and cyber-attacks. In this paper, we elaborate on security vulnerabilities of NCSs, and examine how these vulnerabilities may be exploited when attacks occur. A general model of NCS designed with three different controllers, i.e., proportional-integral-derivative (PID) controllers, Model Predictive control (MPC) and Emotional Learning Controller (ELC) are studied. Then three different types of attacks are applied to evaluate the system performance. For the case study, a networked pacemaker system using the Zeeman nonlinear heart model (ZHM) as the plant combined with the above-mentioned controllers to test the system performance when under attacks. The results show that with Emotional Learning Controller (ELC), the pacemaker is able to track the ECG signal with high fidelity even under different attack scenarios.

关键词： Security of Control Systems Denial of Service (DoS) Attack time-delay-switch (TDS) Attack False Data Injection (FDI) Attack

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