Meter reading aggregation scheme with universally symbolic analysis for smart grid

Hailing Qiu, Zijian Zhang, Weiping Wang, Rui Zhang, Yongbin Zhou, Liehuang Zhu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Millions of smart meters have been installed all around the world so far. The reported meter readings are conducive for utility companies to provide high quality of service. To efficiently and securely make use of those readings, data aggregation has been widely studied. Lu et al. proposed an Efficient and privacypreserving aggregation (EPPA) scheme for secure smart grid communications in recent years. Unfortunately, we found a man-in-the-middle attack to the EPPA scheme in this paper. We then propose a new meter reading aggregation scheme, namely Universally composable meter reading aggregation (UCMRA) scheme, in order to resist against that attack. Moreover, we give a universally composable symbolic analysis to prove the security for UCMRA scheme. This proof also enables the UCMRA scheme to adopt an alternative cryptographic primitive arbitrarily, as long as the primitive meets the requirements of the corresponding ideal functionality. Finally, the experiment results show that the performance of the UCMRA scheme is almost as good as that of the EPPA scheme.

Original languageEnglish
Pages (from-to)577-584
Number of pages8
JournalChinese Journal of Electronics
Volume28
Issue number3
DOIs
Publication statusPublished - 2019

Keywords

  • Data aggregation
  • Smart grid
  • Universally symbolic analysis

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