research-article

Protection of consumer data in the smart grid compliant with the German smart metering guideline

Authors:

Maurílio Pereira CoutinhoAuthors Info & Claims

SEGS '13: Proceedings of the first ACM workshop on Smart energy grid security

Pages 41 - 52

https://doi.org/10.1145/2516930.2516933

Published: 08 November 2013 Publication History

Abstract

Smart metering systems obtain fine-grained consumption data of their users. This allows for effective load balancing, but at the same time threatens consumers' privacy. Since the electricity provider only needs the characteristics of a region, not individuals, approaches like one by Mármol et al. suggest to aggregate data to protect consumer privacy. However, an implementation of such an approach also has to consider the legal and regulatory situation. In Germany, the technical guideline TR-03109 issued by the Federal Office for Information Security specifies demands which have to be fulfilled so that a smart meter gateway can be certified for use. These specifications imply limitations to the protocol design. Within this paper, we discuss the applicability of the method presented by Mármol et al. under consideration of the German Smart Metering guideline. Where conformity is not given, we offer a solution to overcome these restrictions by adapting their method and introduce a third party aggregator who does not have to be trusted. Our method comes with additional communication effort but behaves well in terms of memory and computational overhead. The achieved privacy level outreaches a purely pseudonymous value transmission. Also it does not contradict the postulations of TR-03109, making it an applicable choice for privacy protection in real-world smart metering systems.

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Cited By

Sui ZNiedermeier Mde meer H(2018)TAI: A Threshold-Based Anonymous Identification Scheme for Demand-Response in Smart GridsIEEE Transactions on Smart Grid10.1109/TSG.2016.26330719:4(3496-3506)Online publication date: Jul-2018
https://doi.org/10.1109/TSG.2016.2633071
Knirsch FEibl GEngel D(2017)Multi-resolution privacy-enhancing technologies for smart meteringEURASIP Journal on Information Security10.1186/s13635-017-0058-32017:1Online publication date: 20-Mar-2017
https://doi.org/10.1186/s13635-017-0058-3
Yoi KYamaguchi HHiromori AUchiyama AHigashino TYanagiya NNakatani TTachibana AHasegawa T(2015)Multi-dimensional sensor data aggregator for adaptive network management in M2M communications2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)10.1109/INM.2015.7140431(1047-1052)Online publication date: May-2015
https://doi.org/10.1109/INM.2015.7140431
Show More Cited By

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Protection of consumer data in the smart grid compliant with the German smart metering guideline

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cover image ACM Conferences

SEGS '13: Proceedings of the first ACM workshop on Smart energy grid security

November 2013

112 pages

ISBN:9781450324922

DOI:10.1145/2516930

Program Chairs:
Benessa Defend
ENCS, Netherlands
,
Klaus Kursawe
ENCS, Netherlands

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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Association for Computing Machinery

New York, NY, United States

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Published: 08 November 2013

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CCS'13

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SIGSAC

CCS'13: 2013 ACM SIGSAC Conference on Computer and Communications Security

November 8, 2013

Berlin, Germany

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SEGS '13 Paper Acceptance Rate 12 of 27 submissions, 44%;

Overall Acceptance Rate 19 of 38 submissions, 50%

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Cited By

Sui ZNiedermeier Mde meer H(2018)TAI: A Threshold-Based Anonymous Identification Scheme for Demand-Response in Smart GridsIEEE Transactions on Smart Grid10.1109/TSG.2016.26330719:4(3496-3506)Online publication date: Jul-2018
https://doi.org/10.1109/TSG.2016.2633071
Knirsch FEibl GEngel D(2017)Multi-resolution privacy-enhancing technologies for smart meteringEURASIP Journal on Information Security10.1186/s13635-017-0058-32017:1Online publication date: 20-Mar-2017
https://doi.org/10.1186/s13635-017-0058-3
Yoi KYamaguchi HHiromori AUchiyama AHigashino TYanagiya NNakatani TTachibana AHasegawa T(2015)Multi-dimensional sensor data aggregator for adaptive network management in M2M communications2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)10.1109/INM.2015.7140431(1047-1052)Online publication date: May-2015
https://doi.org/10.1109/INM.2015.7140431
Costantino GMartinelli F(2015)Privacy-Preserving Energy-Reading for Smart MeterInclusive Smart Cities and e-Health10.1007/978-3-319-19312-0_14(165-177)Online publication date: 30-May-2015
https://doi.org/10.1007/978-3-319-19312-0_14

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