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Preprints, Working Papers, ... Year : 2020

Resource Constrained Sensor Attacks by Minimizing Fisher Information

Abstract

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.
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Dates and versions

hal-02977697 , version 1 (25-10-2020)

Identifiers

  • HAL Id : hal-02977697 , version 1

Cite

Ingvar Ziemann, Henrik Sandberg. Resource Constrained Sensor Attacks by Minimizing Fisher Information. 2020. ⟨hal-02977697⟩

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TDS-MACS
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