학술논문

A model predictive approach for cyber-attack detection and mitigation in control systems
Document Type
Conference
Source
52nd IEEE Conference on Decision and Control Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on. :6621-6626 Dec, 2013
Subject
Computing and Processing
Detectors
Optimization
Security
Safety
Optimal control
Vectors
Language
ISSN
0191-2216
Abstract
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.