An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability

Bofeng Pan, Peng Zeng, Kim Kwang Raymond Choo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.

Original languageEnglish
Title of host publicationComplex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
EditorsLeonard Barolli, Olivier Terzo
PublisherSpringer Verlag
Pages677-688
Number of pages12
ISBN (Print)9783319615653
DOIs
StatePublished - 2018
Event11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 - Torino, Italy
Duration: 10 Jul 201712 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume611
ISSN (Print)2194-5357

Conference

Conference11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
Country/TerritoryItaly
CityTorino
Period10/07/1712/07/17

Keywords

  • Data aggregation
  • Data analysis
  • Privacy-preserving
  • Smart grid

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