Abstract
In smart grids, two-way communication between end-users and the grid allows frequent data exchange, which on one hand enhances users’ experience, while on the other hand increase security and privacy risks. In this paper, we propose an efficient system to address security and privacy problems, in contrast to the data aggregation schemes with high cryptographic overheads. In the proposed system, users are grouped into local communities and trust-based blockchains are formed in each community to manage smart grid transactions, such as reporting aggregated meter reading, in a light-weight fashion. We show that the proposed system can meet the key security objectives with a detailed analysis. Also, experiments demonstrated that the proposed system is efficient and can provide satisfactory user experience, and the trust value design can easily distinguish benign users and bad actors.
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This work was supported by NSF CNS-1948550.
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Park, S., Li, X., Liu, Y. (2023). Trust-Based Communities for Smart Grid Security and Privacy. In: Haas, Z.J., Prakash, R., Ammari, H., Wu, W. (eds) Wireless Internet. WiCON 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-031-27041-3_3
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