Reference : A model predictive approach for cyber-attack detection and mitigation in control systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/11013
A model predictive approach for cyber-attack detection and mitigation in control systems
English
Rosich, Albert mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Li, Yumei mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Darouach, Mohamed [University of Lorraine]
13-Dec-2013
52nd IEEE Conference on Decision and Control CDC 2013, Florence, Italy, Dec. 2013
6621-6626
Yes
No
International
978-1-4673-5716-6
52nd IEEE Conference on Decision and Control
2013
Florence
Italy
[en] cyber-attack ; model predictive ; attack detection
[en] The paper presents a new approach for control security. Specifically, cyber-attacks on the controller are investigated by means of optimization techniques in order to determine the worst-case scenario. Then, a novel attack detector based on limit checking is introduced. The particularity of this detector is that no specific controller knowledge is necessary. Hence, the vulnerability of the detector can be reduced since no reconfiguration is required (limited accessibility). Finally, the paper shows that the effect of the attacks on the system can be significantly mitigated by applying proper optimal control laws.
Interdisciplinary Centre for Security, Reliability and Trust
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/11013

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