Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control
Information Theory
2019-05-21 v1 math.IT
Optimization and 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.
Keywords
Cite
@article{arxiv.1905.07459,
title = {Bidirectional Information Flow and the Roles of Privacy Masks in Cloud-Based Control},
author = {Ali Reza Pedram and Takashi Tanaka and Matthew Hale},
journal= {arXiv preprint arXiv:1905.07459},
year = {2019}
}