Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols

Franklin Leukam Lako; Paul Lajoie-Mazenc; Maryline Laurent

doi:10.1109/EuroSPW51379.2020.00054

Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols

Franklin Leukam Lako
, Paul Lajoie-Mazenc
, Maryline Laurent

Lamsid/EDF/R and D

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The collection of fine-grained consumption of users in the smart grid enables energy providers to propose new services (e.g. consumption forecasts or demand response protocols), but at the price of users' privacy: consumption data collected by smart meters reflects the use of all appliances by inhabitants in the household over time. Based on the observation that Secure Multi-party Computation (SMC) enables computing an aggregate without learning individual information, this paper proposes a privacy-preserving adaptation of an existing demand response protocol which is fed with users' personal data. An extension providing fraud resistance is also presented. Experimental results demonstrate that our protocol is able to reconcile privacy and utility.

Original language	English
Title of host publication	Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	348-355
Number of pages	8
ISBN (Electronic)	9781728185972
DOIs	https://doi.org/10.1109/EuroSPW51379.2020.00054
Publication status	Published - 1 Sept 2020
Externally published	Yes
Event	5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020 - Virtual, Genoa, Italy Duration: 7 Sept 2020 → 11 Sept 2020

Publication series

Name	Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020

Conference

Conference	5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020
Country/Territory	Italy
City	Virtual, Genoa
Period	7/09/20 → 11/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Demand Response
Demand Side Management
Privacy
Secure Multiparty Computation
Security
Smart Grid
Smart Metering

Access to Document

10.1109/EuroSPW51379.2020.00054

Cite this

Lako, F. L., Lajoie-Mazenc, P., & Laurent, M. (2020). Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols. In Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020 (pp. 348-355). Article 9229811 (Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuroSPW51379.2020.00054

Lako, Franklin Leukam ; Lajoie-Mazenc, Paul ; Laurent, Maryline. / Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols. Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 348-355 (Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020).

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title = "Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols",

abstract = "The collection of fine-grained consumption of users in the smart grid enables energy providers to propose new services (e.g. consumption forecasts or demand response protocols), but at the price of users' privacy: consumption data collected by smart meters reflects the use of all appliances by inhabitants in the household over time. Based on the observation that Secure Multi-party Computation (SMC) enables computing an aggregate without learning individual information, this paper proposes a privacy-preserving adaptation of an existing demand response protocol which is fed with users' personal data. An extension providing fraud resistance is also presented. Experimental results demonstrate that our protocol is able to reconcile privacy and utility.",

keywords = "Demand Response, Demand Side Management, Privacy, Secure Multiparty Computation, Security, Smart Grid, Smart Metering",

author = "Lako, \{Franklin Leukam\} and Paul Lajoie-Mazenc and Maryline Laurent",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020 ; Conference date: 07-09-2020 Through 11-09-2020",

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language = "English",

series = "Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020",

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Lako, FL, Lajoie-Mazenc, P & Laurent, M 2020, Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols. in Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020., 9229811, Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020, Institute of Electrical and Electronics Engineers Inc., pp. 348-355, 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020, Virtual, Genoa, Italy, 7/09/20. https://doi.org/10.1109/EuroSPW51379.2020.00054

Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols. / Lako, Franklin Leukam; Lajoie-Mazenc, Paul; Laurent, Maryline.
Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 348-355 9229811 (Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols

AU - Lako, Franklin Leukam

AU - Lajoie-Mazenc, Paul

AU - Laurent, Maryline

PY - 2020/9/1

Y1 - 2020/9/1

N2 - The collection of fine-grained consumption of users in the smart grid enables energy providers to propose new services (e.g. consumption forecasts or demand response protocols), but at the price of users' privacy: consumption data collected by smart meters reflects the use of all appliances by inhabitants in the household over time. Based on the observation that Secure Multi-party Computation (SMC) enables computing an aggregate without learning individual information, this paper proposes a privacy-preserving adaptation of an existing demand response protocol which is fed with users' personal data. An extension providing fraud resistance is also presented. Experimental results demonstrate that our protocol is able to reconcile privacy and utility.

AB - The collection of fine-grained consumption of users in the smart grid enables energy providers to propose new services (e.g. consumption forecasts or demand response protocols), but at the price of users' privacy: consumption data collected by smart meters reflects the use of all appliances by inhabitants in the household over time. Based on the observation that Secure Multi-party Computation (SMC) enables computing an aggregate without learning individual information, this paper proposes a privacy-preserving adaptation of an existing demand response protocol which is fed with users' personal data. An extension providing fraud resistance is also presented. Experimental results demonstrate that our protocol is able to reconcile privacy and utility.

KW - Demand Response

KW - Demand Side Management

KW - Privacy

KW - Secure Multiparty Computation

KW - Security

KW - Smart Grid

KW - Smart Metering

UR - https://www.scopus.com/pages/publications/85097051245

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DO - 10.1109/EuroSPW51379.2020.00054

M3 - Conference contribution

AN - SCOPUS:85097051245

T3 - Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020

SP - 348

EP - 355

BT - Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020

Y2 - 7 September 2020 through 11 September 2020

ER -

Lako FL, Lajoie-Mazenc P, Laurent M. Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols. In Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 348-355. 9229811. (Proceedings - 5th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2020). doi: 10.1109/EuroSPW51379.2020.00054

Reconciling Privacy and Utility for Energy Services - An Application to Demand Response Protocols

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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