Storage-Saving Bi-dimensional Privacy-Preserving Data Aggregation in Smart Grids

  • Chun-I Fan
  • Yi-Fan Tseng
  • Yi-Hui Lin
  • Fangguo Zhang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 733)

Abstract

Recently, lots of works on power consumption data aggregation have been proposed for the privacy-preservation of users against the operation center in smart grids. This is the user-based data aggregation, which accumulates the power consumption data of a group of users for every time unit. On the other hand, the accumulation of a user’s data in a group of time units will facilitate the queries on the user’s accumulated power usage in these specified time units, which is time-based data aggregation. It enables the operation center to perform individual energy consumption statistics and management and offer customized services. If a data aggregation scheme provides both user-based and time-based data aggregation, it is said to be bi-dimensional. This manuscript presents the first privacy-preserving bi-dimensional data aggregation scheme, where the storage cost only linearly increases with the number of time units and is independent of the number of users.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Chun-I Fan
    • 1
  • Yi-Fan Tseng
    • 1
  • Yi-Hui Lin
    • 1
  • Fangguo Zhang
    • 2
  1. 1.Department of Computer Science and EngineeringNational Sun Yat-sen UniversityKaohsiungTaiwan
  2. 2.School of Information Science and TechnologySun Yat-sen UniversityGuangzhouChina

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