Name
Abstract | ||
|---|---|---|
In smart grid information systems, the electricity usage data should be audited by data users, such as the market analysts to finish their tasks. Besides that, electricity company always outsources the data to the cloud server (CS) to release its data management pressure. Since the CS is untrusted and the detailed electricity usage data contains users’ privacy, the privacy concern of the data and data users’ queries is raised. Although many schemes have been proposed to achieve the encrypted data query in smart grid, they are not applied well due to the numeric attributes in electricity usage data and privacy concern in smart grid application. In this paper, we provide an efficient privacy-preserving scheme for range query in smart grid. Our scheme achieves the range query without disclosing the privacy of the data and queries. And the performance shows that our scheme can reduce the computation cost for both the data owner and data users, and shorten the response time of every query, which is great significance for smart grid application. © Springer Nature Singapore Pte Ltd. 2018. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-981-10-8890-2_1 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Privacy-preserving,Range query,Smart grid | Information system,Smart grid,Computer science,Electricity,Range query (data structures),Computer network,Encryption,Usage data,Data management,Cloud computing | Conference |
Volume | ISSN | ISBN |
747 | 18650929 | 9789811088896 |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeng Xiaoli | 1 | 20 | 4.93 |
| min hu | 2 | 9 | 10.19 |
| Yu Nuo | 3 | 32 | 5.76 |
| Xiaohua Jia | 4 | 4609 | 303.30 |