Title
Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control
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 Pedram100.68
Takashi Tanaka23412.22
Hale, M.T.3176.84