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• W2963264512 abstract "We study the problem of designing spoofing signals to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and filtering algorithms for the observer, we study the problem from the attacker's point-of-view. In our model, the attacker can corrupt the measurements by adding spoofing signals. The attacker seeks to create a separation between the estimate of the Kalman filter with and without spoofing signals. We present a number of results on how to generate such spoofing signals, while minimizing the signal magnitude. The resulting algorithms are evaluated through simulations along with theoretical proofs." @default.
• W2963264512 created "2019-07-30" @default.
• W2963264512 creator A5006278157 @default.
• W2963264512 creator A5041045546 @default.
• W2963264512 date "2018-06-01" @default.
• W2963264512 modified "2023-09-24" @default.
• W2963264512 title "Strategies to Design Signals to Spoof Kalman Filter" @default.
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• W2963264512 doi "https://doi.org/10.23919/acc.2018.8430817" @default.
• W2963264512 hasPublicationYear "2018" @default.
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