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EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid

  • Zhitao Guan
  • , Yue Zhang
  • , Liehuang Zhu*
  • , Longfei Wu
  • , Shui Yu
  • *Corresponding author for this work
  • North China Electric Power University
  • Fayetteville State University
  • Deakin University

Research output: Contribution to journalArticlepeer-review

Abstract

Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization. However, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during aggregation. Detailed security analysis shows that our scheme can satisfy the desired security requirements of smart grid. In addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.

Original languageEnglish
Article number32103
JournalScience China Information Sciences
Volume62
Issue number3
DOIs
Publication statusPublished - 1 Mar 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • authentication
  • batch verification
  • privacy-preserving
  • smart grid

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