Abstract | ||
---|---|---|
We consider a cloud-based control architecture for a linear plant with Gaussian process noise, where the state of the plant contains a client's sensitive information. We assume that the cloud tries to estimate the state while executing a designated control algorithm. The mutual information between the client's actual state and the cloud's estimate is adopted as a measure of privacy loss. We discuss the necessity of uplink and downlink privacy masks. After observing that privacy is not necessarily a monotone function of the noise levels of privacy masks, we discuss the joint design procedure for uplink and downlink privacy masks. Finally, the trade-off between privacy and control performance is explored. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/ITW44776.2019.8989371 | 2019 IEEE Information Theory Workshop (ITW) |
Keywords | Field | DocType |
cloud-based control,mutual information,privacy-utility trade-off | Information flow (information theory),Monotonic function,Architecture,Computer science,Theoretical computer science,Mutual information,Gaussian process,Information sensitivity,Cloud computing,Telecommunications link | Conference |
Volume | ISSN | ISBN |
abs/1905.07459 | 2475-420X | 978-1-5386-6901-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ali Reza Pedram | 1 | 0 | 0.68 |
Takashi Tanaka | 2 | 34 | 12.22 |
Hale, M.T. | 3 | 17 | 6.84 |