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

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.