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• W2997809973 abstract "Industrial cyber–physical systems (ICPSs) have received increasing attention from both academia and industry. However, the privacy-utility trade-off of process parameters is still a challenge in the ICPSs. To address this challenge, a Kalman filter-based differential privacy and an unscented Kalman filter-based differential privacy algorithms are derived. In order to increase the utility of process parameters while protecting the privacy of process parameters, a differentially private square root unscented Kalman filter algorithm is proposed by employing the square root unscented Kalman filter and differential privacy. The experiments based on a numerical control lathe are presented to prove the privacy and evaluate the utility of process parameters." @default.
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• W2997809973 date "2020-09-01" @default.
• W2997809973 modified "2023-10-15" @default.
• W2997809973 title "A differentially private square root unscented Kalman filter for protecting process parameters in ICPSs" @default.
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• W2997809973 doi "https://doi.org/10.1016/j.isatra.2019.12.010" @default.
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