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Masking attack for sampled-data systems via input redundancy

Title
Masking attack for sampled-data systems via input redundancy
Authors
Kim, JihanPark, GyunghoonShim, HyungboEun, Yongsoon
DGIST Authors
Eun, Yongsoon
Issue Date
2019-09
Citation
IET Control Theory and Applications, 13(14), 2300-2308
Type
Article
Article Type
Article
Author Keywords
control system synthesissampled data systemssecurity of datadigital controllinear systemsdiscrete time systemscontinuous time systemsmasking attacksampled-data systeminput redundancycyber-physical systemsmalicious attackphysical plantcontinuous-time LTI systemdigital controllerperiodic samplingdiscrete time instantsactuator attack
Keywords
SECURE CONTROLMULTIRATEDESIGN
ISSN
1751-8644
Abstract
This study discovers a new vulnerability of cyber-physical systems to malicious attack. It arises when the physical plant, that is modelled as a continuous-time LTI system, is controlled by a digital controller with periodic sampling and actuation. In the sampled-data framework, most anomaly detectors monitor the plant's output only at discrete time instants. Consequently, abnormal behaviour between sampling instants cannot be detected if output behaves normally at every sampling instant. This implies that if an actuator attack drives the plant's state to pass through the kernel of the output matrix at each sensing time, then the attack compromises the system while remaining stealthy. It is shown that this type of attack always exists when the sampled-data system has an input redundancy, i.e. the number of inputs being larger than that of outputs and/or the sampling rate of the actuators being higher than that of the sensors. Simulation results for the X-38 vehicle and other numerical examples illustrate this new attack strategy may result in disastrous consequences. © The Institution of Engineering and Technology 2019.
URI
http://hdl.handle.net/20.500.11750/10806
DOI
10.1049/iet-cta.2018.6075
Publisher
Institution of Engineering and Technology
Related Researcher
  • Author Eun, Yongsoon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
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Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)1. Journal Articles


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