Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid
Joint Authors
Zhou, Yousheng
Chen, Xinyun
Chen, Meihuan
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
In a smart grid, data aggregation is a common method to evaluate regional power consumption.
Data leakage in the process of data transmission poses a security threat to the privacy of users.
Many existing data aggregation schemes can only aggregate one-dimensional data; however, it is necessary to aggregate multidimensional data in practical smart grid applications.
Therefore, this paper proposes a privacy-preserving multidimensional data aggregation scheme, which can aggregate multidimensional data and protect the individual user’s identity and data privacy.
The security of the proposed scheme is proved under the random oracle model.
The simulation results show that the proposed scheme has great advantages in computing overhead, and the communication overhead also meets the requirements of the smart grid.
American Psychological Association (APA)
Zhou, Yousheng& Chen, Xinyun& Chen, Meihuan. 2020. Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208708
Modern Language Association (MLA)
Zhou, Yousheng…[et al.]. Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid. Security and Communication Networks No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1208708
American Medical Association (AMA)
Zhou, Yousheng& Chen, Xinyun& Chen, Meihuan. Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208708
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208708