Arrieta, M., Esnaola, I. orcid.org/0000-0001-5597-1718 and Effros, M. (2019) Universal privacy guarantees for smart meters. In: 2019 IEEE International Symposium on Information Theory (ISIT). 2019 IEEE International Symposium on Information Theory (ISIT), 07-12 Jul 2019, Paris, France. IEEE , pp. 2154-2158. ISBN 9781538692929
Abstract
Smart meters enable improvements in electricity distribution system efficiency at some cost in customer privacy. Users with home batteries can mitigate this privacy loss by applying charging policies that mask their underlying energy use. A battery charging policy is proposed and shown to provide universal privacy guarantees subject to a constraint on energy cost. The guarantee bounds our strategy's maximal information leakage from the user to the utility provider under general stochastic models of user energy consumption. The policy construction adapts coding strategies for non-probabilistic permuting channels to this privacy problem.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Dec 2019 15:59 |
Last Modified: | 26 Sep 2020 00:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/isit.2019.8849679 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154795 |