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Energies 2018, 11(8), 2085; https://doi.org/10.3390/en11082085

Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks

1,†,* , 2,†
and
2
1
Industrial Engineering INDI, Vrije Universiteit Brussel, 1050 Brussels, Belgium
2
Department of Computer Science, Oxford University, Oxford OX1 3QD, UK
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 4 July 2018 / Revised: 30 July 2018 / Accepted: 1 August 2018 / Published: 10 August 2018
(This article belongs to the Collection Smart Grid)
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Abstract

The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-to-end secure data aggregation, together with accurate and dynamic billing offering privacy protection. Compared with the related work, the scheme provides a balanced trade-off between security and efficacy (i.e., low communication and computation overhead while providing robust security). View Full-Text
Keywords: smart grid; smart metering network; security; privacy; data aggregation; billing smart grid; smart metering network; security; privacy; data aggregation; billing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Braeken, A.; Kumar, P.; Martin, A. Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks. Energies 2018, 11, 2085.

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