Compressive Privacy for a Linear Dynamical System.

IEEE Transactions on Information Forensics and Security(2020)

引用 18|浏览42
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摘要
We consider a linear dynamical system in which the state vector consists of both public and private states. One or more sensors make measurements of the state vector and sends information to a fusion center, which performs the final state estimation. To achieve an optimal tradeoff between the utility of estimating the public states and protection of the private states, the measurements at each tim...
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关键词
Privacy,Sensor fusion,Differential privacy,Optimization,Measurement
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