A New Secure and Anonymous Metering Scheme for Smart Grid Communications

Shaohao Xie, Fangguo Zhang, Huizhi Lin and Yangtong Tian
Additional contact information
Shaohao Xie: School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
Fangguo Zhang: School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
Huizhi Lin: School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
Yangtong Tian: School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China

Energies, 2019, vol. 12, issue 24, 1-16

Abstract: The smart meter is one of the most important components of the smart grid, which enables bi-directional communication between electric power providers and in-home appliances. However, the fine-grained metering mechanism that reports real-time electricity usage to the provider may result in some privacy and security issues for the owner of the smart meter. In this paper, we propose a new secure and anonymous smart metering scheme based on the technique of direct anonymous attestation and identity-based signatures. We utilize the trusted platform module to realize the tamper resistance of the smart meter. Moreover, our scheme is able to detect malfunctioning meters in which data is reported more than once in a time period. Finally, the performance and security results show that our proposed scheme is efficient and satisfies the security requirements of the smart grid communication system.

Keywords: privacy; security; direct anonymous attestation; identity-based signature; smart metering; smart grid (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/24/4751/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/24/4751/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:24:p:4751-:d:297437

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().