The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
Abstract
Smart grid privacy encompasses the privacy of information extracted by analysing smart metering data. In this paper, we suggest that home electrical power routing can be used to moderate the home's load signature in order to hide appliance usage information. In particular, (1) we introduce a power management model using a rechargeable battery, (2) we propose a power mixing algorithm, and (3) we evaluate its protection level by proposing three different privacy metrics: an information theoretic (relative entropy), a clustering classification, and a correlation/regression one; these are tested on different metering datasets. This paper sets the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.
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Citations
Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
Communication Theory of Secrecy Systems
Shannon, C. E. (1949) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1949.tb00928.x · Cited by 9,440 · cited 1×
“One can think of other information theoretic privacy metrics [20], such as the the mutual entropy, or equivocance, introduced in [21], but we leave this for further research.”
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Cited by
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
A survey on Advanced Metering Infrastructure
Rashed Mohassel, R., Fung, A., Mohammadi, F., & Raahemifar, K. (2014) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.06.025 · Cited by 632
Privacy in the Smart City—Applications, Technologies, Challenges, and Solutions
Eckhoff, D., & Wagner, I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2748998 · Cited by 287
Metadata
- Authors
- Kalogridis, G., Efthymiou, C., Denic, S. Z., Lewis, T. A., & Cepeda, R.
- Venue
- 2010 First IEEE International Conference on Smart Grid Communications
- Publisher
- IEEE
- Published
- 2010-10
- Pages
- 232-237
- OpenAlex
- W2038178117
- Cited by
- 415
- References
- 2
- FWCI
- 40.62
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Kalogridis, G., Efthymiou, C., Denic, S. Z., Lewis, T. A., & Cepeda, R. (2010). Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures. 2010 First IEEE International Conference on Smart Grid Communications. https://doi.org/10.1109/smartgrid.2010.5622047
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
