Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks
An Braeken,
Pardeep Kumar and
Andrew Martin
Additional contact information
An Braeken: Industrial Engineering INDI, Vrije Universiteit Brussel, 1050 Brussels, Belgium
Pardeep Kumar: Department of Computer Science, Oxford University, Oxford OX1 3QD, UK
Andrew Martin: Department of Computer Science, Oxford University, Oxford OX1 3QD, UK
Energies, 2018, vol. 11, issue 8, 1-20
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).
Keywords: smart grid; smart metering network; security; privacy; data aggregation; billing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:8:p:2085-:d:163099
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