Information-theoretic approaches to privacy in estimation and control

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

10 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)412-422
Journal / PublicationAnnual Reviews in Control
Volume47
Online published23 Apr 2019
Publication statusPublished - 2019
Externally publishedYes

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; Johansson, Karl H.

In: Annual Reviews in Control, Vol. 47, 2019, p. 412-422.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review