Activities per year
Abstract
In this paper we propose a novel protocol that allows suppliers and grid operators to collect users' aggregate metering data in a secure and privacy-preserving manner. We use secure multiparty computation to ensure privacy protection. In addition, we propose three different data aggregation algorithms that offer different balances between privacy-protection and performance. Our protocol is designed for a realistic scenario in which the data need to be sent to different parties, such as grid operators and suppliers. Furthermore, it facilitates an accurate calculation of transmission, distribution and grid balancing fees in a privacy-preserving manner. We also present a security analysis and a performance evaluation of our protocol based on well known multiparty computation algorithms implemented in C++.
Original language | English |
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Pages (from-to) | 1-1 |
Number of pages | 1 |
Journal | IEEE Transactions on Smart Grid |
Volume | 10 |
Issue number | 6 |
Early online date | 19 Mar 2019 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- cs.CR
Fingerprint
Dive into the research topics of 'A Secure and Privacy-preserving Protocol for Smart Metering Operational Data Collection'. Together they form a unique fingerprint.Prizes
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Winner of the Student Video Competition at IEEE SmartGridComm 2017
Mustafa, M. (Recipient), 23 Oct 2017
Prize: Prize (including medals and awards)
Activities
- 1 Invited talk
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Secure and Privacy-Friendly Local Electricity Trading
Mustafa, M. (Speaker)
11 Apr 2017Activity: Talk or presentation › Invited talk › Research