Privacy-preserving aggregation and authentication of multi-source smart meters in a smart grid system

Dongyoung Koo, Youngjoo Shin, Junbeom Hur

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


The smart grid is a promising electrical grid paradigm for enhancing flexibility and reliability in power transmission through two-way communications among grid entities. In the smart grid system, the privacy of usage information measured by individual smart meters has gained significant attention, owing to the possibility of personal information inference. Moreover, efficient and reliable power provisioning can be seriously impeded through illicit manipulations of aggregated data under the influence of malicious adversaries. Due to such potential risks, it becomes an important requirement for the smart grid to preserve privacy of metering data by secure aggregation and to authenticate the aggregated result in an efficient manner within large scale environments. From this perspective, this paper investigates the current status of security and privacy in smart grid systems and representative state-of-the-art studies in secure aggregation and authentication of metering data for future directions of a smart grid.

Original languageEnglish
Article number1007
JournalApplied Sciences (Switzerland)
Issue number10
Publication statusPublished - 2017 Sept 29
Externally publishedYes


  • Aggregation
  • Authentication
  • Efficiency
  • Privacy
  • Smart grid

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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