Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tuning Windowed Chi-Squared Detectors for Sensor Attacks   A model-based windowed chi-squared procedure is proposed for identifying
falsified sensor measurements. We employ the widely-used static chi-squared and
the dynamic cumulative sum (CUSUM) fault/attack detection procedures as
benchmarks to compare the performance of the windowed chi-squared detector. In
particular, we characterize the state degradation that a class of attacks can
induce to the system while enforcing that the detectors do not raise alarms
(zero-alarm attacks). We quantify the advantage of using dynamic detectors
(windowed chi-squared and CUSUM detectors), which leverages the history of the
state, over a static detector (chi-squared) which uses a single measurement at
a time. Simulations using a chemical reactor are presented to illustrate the
performance of our tools.

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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: q-bio
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The categories of this paper are: nlin
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: supr-con
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-lat
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The categories of this paper are: astro-ph