Arrieta, M. and Esnaola, I. orcid.org/0000-0001-5597-1718 (2017) Smart meter privacy via the trapdoor channel. In: Proceedings of 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm). 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 23-27 Oct 2017, Dresden, Germany. IEEE , pp. 277-282. ISBN 9781538624012
Abstract
A battery charging policy that provides privacy guarantees for smart meter systems with finite capacity battery is proposed. For this policy an upper bound on the information leakage rate is provided. The upper bound applies for general random processes modelling the energy consumption of the user. It is shown that the average energy consumption of the user determines the information leakage rate to the utility provider. The upper bound is shown to be tight by deriving the probability law of a random process achieving the bound.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 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. |
Keywords: | Batteries; Privacy; Energy consumption; Random processes; Energy management; Upper bound; Smart grids |
Dates: |
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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: | 13 Oct 2017 10:00 |
Last Modified: | 14 Jul 2020 16:12 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/SmartGridComm.2017.8340722 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122385 |