Quickest Bayesian and non-Bayesian detection of false data injection attack in remote state estimation
In this paper, quickest detection of false data injection attack on remote state estimation is considered. A set of \(N\) sensors make noisy linear observations of a discrete-time linear process with Gaussian noise, and report the observations to a remote estimator. The challenge is the presence of...
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| Published in: | arXiv.org |
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| Main Authors: | , , |
| Format: | Paper |
| Language: | English |
| Published: |
Ithaca
Cornell University Library, arXiv.org
16.01.2022
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| Subjects: | |
| ISSN: | 2331-8422 |
| Online Access: | Get full text |
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