An enhanced anonymous identification scheme for smart grids

  • Shanshan Ge
  • , Peng Zeng*
  • , Kim Kwang Raymond Choo
  • *Corresponding author for this work

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

4 Scopus citations

Abstract

In smart grid communications, preserving the privacy of consumers’ electricity usage data is a topic of interest for power providers and consumers, as well as regulators. Sui (IEEE Trans. Smart Grid, 2016) proposed a new threshold-based anonymous identification (TAI) scheme for smart grid communications and claimed that TAI scheme achieves unlinkability, strong anonymity, non-frameability, identification, and integrity. In this paper, however, we demonstrate that due to a flawed Decisional Diffie–Hellman assumption in a bilinear group, TAI scheme is unlikely to achieve unlinkability, in violation of their security claims. Specifically, an adversary A can easily link different consumption reports from the same consumer during the anonymous consumption reporting part and link a disavowal proof of a compliant smart meter to its previous signature. We then propose an enhanced anonymous identification scheme to eliminate the security vulnerability in the scheme, in the sense that no one can determine whether two different consumption reports are from the same consumer.

Original languageEnglish
Title of host publicationInternational Conference on Applications and Techniques in Cyber Security and Intelligence - Applications and Techniques in Cyber Security and Intelligence
EditorsRafiqul Islam, Kim-Kwang Raymond Choo, Jemal Abawajy
PublisherSpringer Verlag
Pages329-337
Number of pages9
ISBN (Print)9783319670706
DOIs
StatePublished - 2018
EventInternational Conference on Applications and Techniques in Cyber Security and Intelligence, ATCSI 2017 - Ningbo, China
Duration: 16 Jun 201718 Jun 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume580
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Applications and Techniques in Cyber Security and Intelligence, ATCSI 2017
Country/TerritoryChina
CityNingbo
Period16/06/1718/06/17

UN SDGs

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

  1. Affordable and clean energy
    Affordable and clean energy

Keywords

  • Demand-response
  • Identification
  • Privacy-preserving
  • Smart grid
  • Unlinkability

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