Abstract
Smart Grid (SM) facilitates the intelligent generation, management, and distribution of electricity. It will be a very important service in our daily lives, and the security and privacy protection of the information and the structure is critical. Privacy-Preserving Data Aggregation (PPDA) in smart grids aims at collecting the aggregated power generation or consumption while protecting the privacy of each individual Smart Meter (SM). Li et al.’s Privacy-Preserving Multisubset data Aggregation (PPMA) (Li et al. in IEEE Trans Ind Inf 14(2):462–471, 2018 [1]) is at the cutting edge of PPDA schemes. Li et al.’s PPMA scheme, in addition to the total aggregated electricity, further provides the number of users whose electricity consumptions fall within an interested range and the aggregated quantity of the specified range. However, the requirement of strict time synchronization and no single SM failure makes the scheme un-attractive to practical application. We propose a new PPMA scheme that facilitates flexible SM deployment, independent SM status reporting without strict synchronization, and fault tolerance to any SM failure as long as at least two well-function SMs.
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Acknowledgements
This project is partially supported by the National Science Council, Taiwan, R.O.C., under grant no. MOST 107-2218-E-260-001, and Chunhua Su is supported by JSPS Kiban(B) 18H03240 and JSPS Kiban(C) 18K11298.
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Chien, HY., Su, C. (2020). A Fault-Tolerant and Flexible Privacy-Preserving Multisubset Data Aggregation in Smart Grid. In: Lee, R. (eds) Computational Science/Intelligence and Applied Informatics. CSII 2019. Studies in Computational Intelligence, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-030-25225-0_12
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DOI: https://doi.org/10.1007/978-3-030-25225-0_12
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