Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid

Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energy trading. However, trading information recorded on the blockchain also brings privacy concerns. Attackers can utilize data mining algorithms to obtain users' privacy, specially, when the user group is located in nearby geographic positions. In this paper, we present a consortium blockchain-oriented approach to solve the problem of privacy leakage without restricting trading functions. The proposed approach mainly addresses energy trading users' privacy in smart grid and screens the distribution of energy sale of sellers deriving from the fact that various energy trading volumes can be mined to detect its…

• NN
  National Natural Science Foundation of China

  Awards: 61872041, 61602039, U1836212
• BI
  Beijing Institute of Technology Research Fund Program for Young Scholars
• NK
  National Key Research and Development Program of China

  Award: 2018YFB0803405