2D2PS: A demand-driven privacy-preserving scheme for anonymous data sharing in smart grids

Yuan Chang, Jiliang Li, Wenjuan Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

In smart grid services, electricity consumption data sharing may lead to privacy breaches and the potential for misuse of personal data. Existing data aggregation approaches mainly rely on homomorphic encryption techniques to achieve privacy protection in data sharing, however, lack consideration of controlled anonymity and fine-grained access control. This paper proposes a demand-driven privacy-preserving scheme for anonymous data sharing in smart grids to solve these problems. Specifically, an authenticable pseudonym assignment method is first proposed to achieve controlled anonymity. In addition, a proxy re-encryption technique and a data separation algorithm are implemented to achieve fine-grained access control. Finally, we strictly prove that our scheme achieves privacy protection and authentication, and demonstrate its feasibility and effectiveness through simulations.

Original languageEnglish
Article number103466
Pages (from-to)1-11
JournalJournal of Information Security and Applications
Volume74
DOIs
Publication statusPublished - May 2023

Keywords

  • Access control
  • Data sharing
  • Privacy-preserving
  • Smart grid

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of '2D2PS: A demand-driven privacy-preserving scheme for anonymous data sharing in smart grids'. Together they form a unique fingerprint.

Cite this