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Cited by 559

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Secure Information Aggregation for Smart Grids Using Homomorphic Encryption

Li, Fengjun, Luo, Bo, Liu, Peng·2010·2010 First IEEE International Conference on Smart Grid Communications

Abstract

In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit. With a carefully constructed aggregation tree, the aggregation route covers the entire local neighborhood or any arbitrary set of designated nodes with minimum overhead. To protect user privacy, homomorphic encryption is used to secure the data en route. Therefore, all the meters participate in the aggregation, without seeing any intermediate or final result. In this way, our approach supports efficient data aggregation in smart grids, while fully protecting user privacy. This approach is especially suitable for smart grids with repetitive routine data aggregation tasks.

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Metadata

Authors
Li, F., Luo, B., & Liu, P.
Venue
2010 First IEEE International Conference on Smart Grid Communications
Publisher
IEEE
Published
2010-10
Pages
327-332
OpenAlex
W2000239500
Cited by
559
References
3
FWCI
46.69
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Secure Information Aggregation for Smart Grids Using Homomorphic Encryption. https://app.cochat.ai/papers/10.1109/smartgrid.2010.5622064
The paper
Li, F., Luo, B., & Liu, P. (2010). Secure Information Aggregation for Smart Grids Using Homomorphic Encryption. 2010 First IEEE International Conference on Smart Grid Communications. https://doi.org/10.1109/smartgrid.2010.5622064

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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.