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Privacy-preserving smart metering with verifiability for both billing and energy management

Authors:

Kazuo OhtaAuthors Info & Claims

ASIAPKC '14: Proceedings of the 2nd ACM workshop on ASIA public-key cryptography

Pages 23 - 32

https://doi.org/10.1145/2600694.2600700

Published: 03 June 2014 Publication History

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Abstract

In smart grid systems, security and privacy prevention is great concerns. The suppliers of the power in smart grid systems demand to know the consumption of each customer for correctly calculating billing price and the total amount of consumption in a certain region for managing energy supply adopted real-time needs. On the other hand, the customer of the power desires to hide his/her own consumption profile, since it contains privacy information of the customer. However, hiding the consumption allows customers to reduce billing price. Previous privacy-preserving smart metering schemes provide only one of billing or energy management functionality, or even if both of them are achieved, these schemes cannot verify the integrity of the consumption issued by the smart meter. We propose a novel smart metering scheme that provides both of billing and energy management functionality, as well as verifiability of the integrity of total amount of the consumption or billing price.

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Cited By

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Wagh GMishra S(2023)A distributed approach to privacy-preservation and integrity assurance of smart metering dataProceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3575813.3576876(60-65)Online publication date: 20-Jun-2023
https://dl.acm.org/doi/10.1145/3575813.3576876
Wagh GMishra S(2022)A Distributed Privacy-Preserving Integrity Verification Framework for the Smart Grid2022 IEEE International Symposium on Technologies for Homeland Security (HST)10.1109/HST56032.2022.10025444(1-7)Online publication date: 14-Nov-2022
https://doi.org/10.1109/HST56032.2022.10025444
YASUDA SKOSEKI YSAKAI YKITAGAWA FKAWAI YHANAOKA G(2020)Verifiable Privacy-Preserving Data Aggregation ProtocolsIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2019CIP0024E103.A:1(183-194)Online publication date: 1-Jan-2020
https://doi.org/10.1587/transfun.2019CIP0024
Show More Cited By

Index Terms

Privacy-preserving smart metering with verifiability for both billing and energy management
1. Security and privacy
  1. Cryptography
    1. Public key (asymmetric) techniques
      1. Public key encryption
  2. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Privacy policies

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Information & Contributors

Information

Published In

ASIAPKC '14: Proceedings of the 2nd ACM workshop on ASIA public-key cryptography

June 2014

66 pages

ISBN:9781450328012

DOI:10.1145/2600694

Program Chairs:
Keita Emura
National Institute of Information and Communications Technology, Japan
,
Goichiro Hanaoka
National Institute of Advanced Industrial Science and Technology, Japan
,
Yunlei Zhao
Fudan University, China

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2014

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Conference

ASIA CCS '14

Sponsor:

SIGSAC

ASIA CCS '14: 9th ACM Symposium on Information, Computer and Communications Security

June 3, 2014

Kyoto, Japan

Acceptance Rates

ASIAPKC '14 Paper Acceptance Rate 6 of 22 submissions, 27%;

Overall Acceptance Rate 36 of 103 submissions, 35%

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Citations

Cited By

View all

Wagh GMishra S(2023)A distributed approach to privacy-preservation and integrity assurance of smart metering dataProceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3575813.3576876(60-65)Online publication date: 20-Jun-2023
https://dl.acm.org/doi/10.1145/3575813.3576876
Wagh GMishra S(2022)A Distributed Privacy-Preserving Integrity Verification Framework for the Smart Grid2022 IEEE International Symposium on Technologies for Homeland Security (HST)10.1109/HST56032.2022.10025444(1-7)Online publication date: 14-Nov-2022
https://doi.org/10.1109/HST56032.2022.10025444
YASUDA SKOSEKI YSAKAI YKITAGAWA FKAWAI YHANAOKA G(2020)Verifiable Privacy-Preserving Data Aggregation ProtocolsIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2019CIP0024E103.A:1(183-194)Online publication date: 1-Jan-2020
https://doi.org/10.1587/transfun.2019CIP0024
Zhang LZhang J(2019)Publicly Verifiable Spatial and Temporal Aggregation Scheme Against Malicious Aggregator in Smart GridApplied Sciences10.3390/app90304909:3(490)Online publication date: 31-Jan-2019
https://doi.org/10.3390/app9030490
Ni JZhang KLin XShen X(2019)Balancing Security and Efficiency for Smart Metering Against Misbehaving CollectorsIEEE Transactions on Smart Grid10.1109/TSG.2017.276180410:2(1225-1236)Online publication date: Mar-2019
https://doi.org/10.1109/TSG.2017.2761804
Lin XNi JShen XLin XNi JShen X(2018)Data Privacy Protection in Smart GridPrivacy-Enhancing Fog Computing and Its Applications10.1007/978-3-030-02113-9_5(67-85)Online publication date: 13-Nov-2018
https://doi.org/10.1007/978-3-030-02113-9_5
Yasuda SKoseki YSakai YKitagawa FKawai YHanaoka G(2018)Formal Treatment of Verifiable Privacy-Preserving Data-Aggregation ProtocolsProvable Security10.1007/978-3-030-01446-9_25(415-422)Online publication date: 7-Oct-2018
https://doi.org/10.1007/978-3-030-01446-9_25
Eskeland Sde Lemos R(2017)Communication-efficient privacy-preserving smart meteringProceedings of the 11th European Conference on Software Architecture: Companion Proceedings10.1145/3129790.3129802(109-114)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3129790.3129802
Emura K(2017)Privacy-Preserving Aggregation of Time-Series Data with Public Verifiability from Simple AssumptionsInformation Security and Privacy10.1007/978-3-319-59870-3_11(193-213)Online publication date: 31-May-2017
https://doi.org/10.1007/978-3-319-59870-3_11
Ni ZMotani M(2016)Transmission schemes and performance analysis for time-switching energy harvesting receivers2016 IEEE International Conference on Communications (ICC)10.1109/ICC.2016.7511351(1-6)Online publication date: May-2016
https://doi.org/10.1109/ICC.2016.7511351
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