Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid Against Internal Adversaries

Debiao He, Neeraj Kumar, Sherali Zeadally, Alexey Vinel, Laurence T. Yang

Research output: Contribution to journalArticlepeer-review

151 Scopus citations


Privacy-preserving data aggregation (P2DA) is an important basic building block that can protect consumer's privacy in the smart grid environment because it could be used to prevent the extraction of the electricity consumption information of a specific consumer. Due to this important function, the P2DA scheme for the smart grid has attracted a lot of attention from both academic and industry researchers who have proposed many P2DA schemes for the smart grid in recent years. However, most of these P2DA schemes are not secure against internal attackers or cannot provide data integrity. Besides, their computation costs are not satisfactory because the bilinear pairing operation or the hash-to-point operation is performed at the smart meter's side. To address the deficiencies of previous schemes, we propose a new P2DA scheme against internal attackers using Boneh-Goh-Nissim public key cryptography. The proposed P2DA scheme does not use bilinear pairing or hash-to-point operation making it be more computationally efficient than previous P2DA schemes. We also show that the proposed P2DA scheme is provably secure and can meet various security requirements.

Original languageEnglish
Article number7959204
Pages (from-to)2411-2419
Number of pages9
JournalIEEE Transactions on Smart Grid
Issue number5
StatePublished - Sep 2017

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.


  • Smart grid
  • data aggregation
  • privacy
  • security

ASJC Scopus subject areas

  • Computer Science (all)


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