An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Aysajan Abidin; Abdelrahaman Aly; Sara Cleemput; Mustafa A. Mustafa

doi:10.1007/978-3-319-48965-0_40

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Aysajan Abidin, Abdelrahaman Aly, Sara Cleemput, Mustafa A. Mustafa

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

191 Downloads (Pure)

Abstract

This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the “online” phase, showing its feasibility for a typical electricity trading period.

Original language	English
Title of host publication	CRYPTOLOGY AND NETWORK SECURITY, CANS 2016
Pages	615-625
Number of pages	11
Volume	10052
DOIs	https://doi.org/10.1007/978-3-319-48965-0_40
Publication status	Published - 28 Oct 2016

Publication series

Name	Lecture Notes in Computer Science

Keywords

Secure multiparty computation
Local electricity trading market
Smart grid
Renewable energy source
Security and Privacy

UN SDGs

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

Access to Document

10.1007/978-3-319-48965-0_40

article-2710Accepted author manuscript, 485 KB

Winner of the Student Video Competition at IEEE SmartGridComm 2017
Mustafa, Mustafa (Recipient), 23 Oct 2017
Prize: Prize (including medals and awards)

Secure and Privacy-Friendly Local Electricity Trading
Mustafa Mustafa (Speaker)
11 Apr 2017
Activity: Talk or presentation › Invited talk

Cite this

@inbook{695c24b5e46b4b6aac43bad2eec8a24f,

title = "An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market",

abstract = "This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the “online” phase, showing its feasibility for a typical electricity trading period.",

keywords = "Secure multiparty computation, Local electricity trading market, Smart grid, Renewable energy source, Security and Privacy",

author = "Aysajan Abidin and Abdelrahaman Aly and Sara Cleemput and Mustafa, {Mustafa A.}",

year = "2016",

month = oct,

day = "28",

doi = "10.1007/978-3-319-48965-0_40",

language = "English",

isbn = "978-3-319-48964-3",

volume = "10052",

series = "Lecture Notes in Computer Science",

pages = "615--625",

booktitle = "CRYPTOLOGY AND NETWORK SECURITY, CANS 2016",

}

TY - CHAP

T1 - An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

AU - Abidin, Aysajan

AU - Aly, Abdelrahaman

AU - Cleemput, Sara

AU - Mustafa, Mustafa A.

PY - 2016/10/28

Y1 - 2016/10/28

N2 - This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the “online” phase, showing its feasibility for a typical electricity trading period.

AB - This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the “online” phase, showing its feasibility for a typical electricity trading period.

KW - Secure multiparty computation

KW - Local electricity trading market

KW - Smart grid

KW - Renewable energy source

KW - Security and Privacy

U2 - 10.1007/978-3-319-48965-0_40

DO - 10.1007/978-3-319-48965-0_40

M3 - Chapter

SN - 978-3-319-48964-3

VL - 10052

T3 - Lecture Notes in Computer Science

SP - 615

EP - 625

BT - CRYPTOLOGY AND NETWORK SECURITY, CANS 2016

ER -

An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Fingerprint

Prizes

Winner of the Student Video Competition at IEEE SmartGridComm 2017

Activities

Secure and Privacy-Friendly Local Electricity Trading

Cite this