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Resource Constrained Sensor Attacks by Minimizing Fisher Information
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- Ziemann, Ingvar (author)
- KTH,Reglerteknik
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- Sandberg, Henrik (author)
- KTH,Reglerteknik
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2021
- 2021
- English.
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In: 2021 American control conference (ACC). - : Institute of Electrical and Electronics Engineers Inc.. ; , s. 4580-4585
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Subject headings
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- We analyze the impact of sensor attacks on a linear state estimation problem subject to variance and sparsity constraints. We show that the maximum impact in a leader-follower game where the attacker first chooses the distribution of an adversarial perturbation and the defender follows by choosing an estimator is characterized by a minimum Fisher information principle. In general, this is a nonlinear variational problem, but we show that it can be reduced to a finite-dimensional mixed integer SDP. Alternatively, the proposed solution can be seen as a lower bound on the maximum impact for a game in which the defender plays first.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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