A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid

The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics Vol. 15; no. 3; pp. 1767 - 1774
Main Authors: Liu, Yining, Guo, Wei, Fan, Chun-I, Chang, Liang, Cheng, Chi
Format: Journal Article
Language:English
Published: IEEE 01.03.2019
Subjects:
Cryptography
Data aggregation
Data privacy
data utility
distributed decryption algorithm
Logic gates
Privacy
privacy preservation
Real-time systems
smart grid
ISSN:1551-3203, 1941-0050
Online Access:Get full text
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Summary:The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could be a feasible solution. Most of the existing data aggregation schemes rely on a trusted third party (TTP). However, this assumption will have negative impact on reliability, because the system can be easily knocked down by the denial of service attack. In this paper, a practical privacy-preserving data aggregation scheme is proposed without TTP, in which the users with some extent trust construct a virtual aggregation area to mask the single user's data, and meanwhile, the aggregation result almost has no effect for the data utility in large scale applications. The computation cost and communication overhead are reduced in order to promote the practicability. Moreover, the security analysis and the performance evaluation show that the proposed scheme is robust and efficient.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2018.2809672