Stealthy Sensor Attacks Against Direct Data-Driven Controllers

Fuente: arXiv
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1. Verfasser: Anand, Sribalaji C.
Format: Preprint
Veröffentlicht: 2025
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author Anand, Sribalaji C.
author_facet Anand, Sribalaji C.
contents This paper investigates the vulnerability of discrete-time linear time-invariant systems to stealthy sensor attacks during the learning phase. In particular, we demonstrate that a {data-driven} adversary, without access to the system model, can inject attacks that mislead the operator into learning an {unstable} state-feedback controller. We further analyze attacks that degrade the performance of data-driven ${H}_2$ controllers, while ensuring that the operator can always compute a feasible controller. Potential mitigation strategies are also discussed. Numerical examples illustrate the effectiveness of the proposed attacks and underscore the importance of accounting for adversarial manipulations in data-driven controller design.
format Preprint
id arxiv_https___arxiv_org_abs_2504_17347
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stealthy Sensor Attacks Against Direct Data-Driven Controllers
Anand, Sribalaji C.
Systems and Control
This paper investigates the vulnerability of discrete-time linear time-invariant systems to stealthy sensor attacks during the learning phase. In particular, we demonstrate that a {data-driven} adversary, without access to the system model, can inject attacks that mislead the operator into learning an {unstable} state-feedback controller. We further analyze attacks that degrade the performance of data-driven ${H}_2$ controllers, while ensuring that the operator can always compute a feasible controller. Potential mitigation strategies are also discussed. Numerical examples illustrate the effectiveness of the proposed attacks and underscore the importance of accounting for adversarial manipulations in data-driven controller design.
title Stealthy Sensor Attacks Against Direct Data-Driven Controllers
topic Systems and Control
url https://arxiv.org/abs/2504.17347