[en] The paper presents a new approach for control
security. Specifically, cyber-attacks on the controller are in-
vestigated 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
Disciplines :
Electrical & electronics engineering
Author, co-author :
Voos, Holger ; 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 ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Darouach, Mohamed; Universit´e de Lorraine, France > Centre de la Recherche en Automatique de Nancy (CRAN)
Language :
English
Title :
A model predictive approach for cyber-attack detection and mitigation in control systems
Publication date :
10 December 2013
Event name :
The proceeding of 52nd IEEE Conference on Decision and Control
