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Hauptverfasser: Arnström, Daniel, Teixeira, André M. H.
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2403.17861
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author Arnström, Daniel
Teixeira, André M. H.
author_facet Arnström, Daniel
Teixeira, André M. H.
contents Safety filters ensure that only safe control actions are executed. We propose a simple and stealthy false-data injection attack for deactivating such safety filters; in particular, we focus on deactivating safety filters that are based on control-barrier functions. The attack injects false sensor measurements to bias state estimates to the interior of a safety region, which makes the safety filter accept unsafe control actions. To detect such attacks, we also propose a detector that detects biases manufactured by the proposed attack policy, which complements conventional detectors when safety filters are used. The proposed attack policy and detector are illustrated on a double integrator example.
format Preprint
id arxiv_https___arxiv_org_abs_2403_17861
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stealthy Deactivation of Safety Filters
Arnström, Daniel
Teixeira, André M. H.
Systems and Control
Safety filters ensure that only safe control actions are executed. We propose a simple and stealthy false-data injection attack for deactivating such safety filters; in particular, we focus on deactivating safety filters that are based on control-barrier functions. The attack injects false sensor measurements to bias state estimates to the interior of a safety region, which makes the safety filter accept unsafe control actions. To detect such attacks, we also propose a detector that detects biases manufactured by the proposed attack policy, which complements conventional detectors when safety filters are used. The proposed attack policy and detector are illustrated on a double integrator example.
title Stealthy Deactivation of Safety Filters
topic Systems and Control
url https://arxiv.org/abs/2403.17861