Information-theoretic approaches to privacy in estimation and control
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 412-422 |
Journal / Publication | Annual Reviews in Control |
Volume | 47 |
Online published | 23 Apr 2019 |
Publication status | Published - 2019 |
Externally published | Yes |
Link(s)
Abstract
Network control systems (NCSs) heavily rely on information and communication technologies for sharing information between sensors and controllers as well as controllers and actuators. When estimation, control or actuation tasks in a NCS are performed by an untrusted party, sharing information might result in the leakage of private information. The current paper reviews some of the recent results on the privacy-aware decision-making problems in NCSs. In particular, we focus on static and dynamic decision-making problems wherein privacy is measured using information-theoretic notions. We also review the applications of these problems in smart buildings and smart grids.
Research Area(s)
- Information theory, Networked control systems, Privacy
Citation Format(s)
Information-theoretic approaches to privacy in estimation and control. / Nekouei, Ehsan; Tanaka, Takashi; Skoglund, Mikael et al.
In: Annual Reviews in Control, Vol. 47, 2019, p. 412-422.
In: Annual Reviews in Control, Vol. 47, 2019, p. 412-422.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review