A unified approach for compression and authentication of smart meter reading in AMI

Lee, Yonggu, Hwang, Euiseok and Choi, Jinho 2019, A unified approach for compression and authentication of smart meter reading in AMI, IEEE access, vol. 7, pp. 34383-34394, doi: 10.1109/ACCESS.2019.2903574.

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Title A unified approach for compression and authentication of smart meter reading in AMI
Author(s) Lee, Yonggu
Hwang, Euiseok
Choi, JinhoORCID iD for Choi, Jinho orcid.org/0000-0002-4895-6680
Journal name IEEE access
Volume number 7
Start page 34383
End page 34394
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 2169-3536
Keyword(s) Science & Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Compressive sensing
Advanced metering infrastructure
Summary In this paper, we propose a unified approach for compression and authentication of smart meter reading in advanced metering infrastructure (AMI). In general, smart meters are urged to send sampled reading signals at a high rate for high-quality services. Meanwhile, power reading signals have to be authenticated to prevent impersonation attacks, which can cause serious economic loss. However, the security in smart grids faces more challenges than conventional human-type communications because of limited hardware resources of a smart meter (e.g., small memory). Motivated by these problems, we study simultaneous compression and authentication for power reading signals in multicarrier systems based on the notion of compressive sensing (CS). The CS-based compression and authentication method are applied to empirically modeled signals with a shared secret key, a measurement matrix in CS between a data concentrator unit (DCU) and a legitimate smart meter. In particular, for authentication, the residual error of a received signal at the DCU is used as a test statistic for hypothesis testing, which determines whether the signal is a legitimate signal or an intrusion signal in the proposed approach. Through the analysis and simulation results, we demonstrate that the CS-based compression approach can be applied to smart meter reading with good energy efficiency. In addition, it is shown that the proposed scheme can obtain a low authentication error probability under reasonable conditions. For example, when the number of subcarriers is 64, the DCU can distinguish legitimate and intrusion smart meters with a probability of 1 - P E , where P E ≤ 10 -4 .
Language eng
DOI 10.1109/ACCESS.2019.2903574
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121048

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