Search Results for author: David Umsonst

Found 4 papers, 1 papers with code

A Bayesian Nash equilibrium-based moving target defense against stealthy sensor attacks

no code implementations12 Nov 2021 David Umsonst, Serkan Sarıtaş, György Dán, Henrik Sandberg

We present a moving target defense strategy to reduce the impact of stealthy sensor attacks on feedback systems.

Experimental evaluation of sensor attacks and defense mechanisms in feedback systems

no code implementations5 Nov 2021 David Umsonst, Henrik Sandberg

In this work, we evaluate theoretical results on the feasibility of, the worst-case impact of, and defense mechanisms against a stealthy sensor attack in an experimental setup.

Finite sample guarantees for quantile estimation: An application to detector threshold tuning

1 code implementation25 May 2021 David Umsonst, Justin Ruths, Henrik Sandberg

A detector threshold that provides an acceptable false alarm rate is equivalent to a specific quantile of the detector output distribution.

Anomaly Detection

On the confidentiality of controller states under sensor attacks

no code implementations8 Jan 2020 David Umsonst, Henrik Sandberg

We derive conditions for when the attacker is able to perfectly estimate the controller's state.

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