Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy
Under the general trend of the rapid development of smart grids, data security and privacy are facing serious challenges; protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread attention. In this study, we propose an encryption scheme...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-03-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020008 |
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| _version_ | 1832544225244217344 |
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| author | Renwu Yan Yang Zheng Ning Yu Cen Liang |
| author_facet | Renwu Yan Yang Zheng Ning Yu Cen Liang |
| author_sort | Renwu Yan |
| collection | DOAJ |
| description | Under the general trend of the rapid development of smart grids, data security and privacy are facing serious challenges; protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread attention. In this study, we propose an encryption scheme on the basis of differential privacy for the problem of user privacy leakage when aggregating data from multiple smart meters. First, we use an improved homomorphic encryption method to realize the encryption aggregation of users’ data. Second, we propose a double-blind noise addition protocol to generate distributed noise through interaction between users and a cloud platform to prevent semi-honest participants from stealing data by colluding with one another. Finally, the simulation results show that the proposed scheme can encrypt the transmission of multi-intelligent meter data under the premise of satisfying the differential privacy mechanism. Even if an attacker has enough background knowledge, the security of the electricity information of one another can be ensured. |
| format | Article |
| id | doaj-art-c738c578241b4b639d37ce938fc92595 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-c738c578241b4b639d37ce938fc925952025-02-03T10:49:41ZengTsinghua University PressBig Data Mining and Analytics2096-06542024-03-017113114110.26599/BDMA.2023.9020008Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential PrivacyRenwu Yan0Yang Zheng1Ning Yu2Cen Liang3School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, ChinaSchool of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, ChinaDepartment of Computing Sciences at The College at Brockport, State University of New York, New York, NY 14420, USASchool of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, ChinaUnder the general trend of the rapid development of smart grids, data security and privacy are facing serious challenges; protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread attention. In this study, we propose an encryption scheme on the basis of differential privacy for the problem of user privacy leakage when aggregating data from multiple smart meters. First, we use an improved homomorphic encryption method to realize the encryption aggregation of users’ data. Second, we propose a double-blind noise addition protocol to generate distributed noise through interaction between users and a cloud platform to prevent semi-honest participants from stealing data by colluding with one another. Finally, the simulation results show that the proposed scheme can encrypt the transmission of multi-intelligent meter data under the premise of satisfying the differential privacy mechanism. Even if an attacker has enough background knowledge, the security of the electricity information of one another can be ensured.https://www.sciopen.com/article/10.26599/BDMA.2023.9020008smart gridhomomorphic encryptiondata aggregationdifferential privacycloud computing |
| spellingShingle | Renwu Yan Yang Zheng Ning Yu Cen Liang Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy Big Data Mining and Analytics smart grid homomorphic encryption data aggregation differential privacy cloud computing |
| title | Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy |
| title_full | Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy |
| title_fullStr | Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy |
| title_full_unstemmed | Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy |
| title_short | Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy |
| title_sort | multi smart meter data encryption scheme basedon distributed differential privacy |
| topic | smart grid homomorphic encryption data aggregation differential privacy cloud computing |
| url | https://www.sciopen.com/article/10.26599/BDMA.2023.9020008 |
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