Privacy-Preserving Multidimensional Data Aggregation Scheme Without Trusted Authority in Smart Grid

Abstract

Privacy-preserving multidimensional data aggregation is a significant basic building block for protecting the users’ privacy in smart grid, and it can not only expand the applications of data aggregation but also fulfill the demands of the fine-grained analysis of multidimensional data. However, traditional multidimensional data aggregation schemes depend on the trusted authority and cannot resist the coalition attack from the gateway (GW) and the control center (CC), which may cause the users’ fears about privacy violations. Therefore, this article proposes a privacy-preserving multidimensional data aggregation scheme without trusted authority in smart grid based on the ElGamal homomorphic cryptosystem with distributed decryption, which can resist the coalition attack from the GW and the CC. What is more, the proposed scheme does not depend on the trusted authority which is not fully trusted in the real world. The detailed security analysis indicates that our scheme can satisfy the security requirement of smart grid. The performance analysis shows that the proposed scheme achieves the lowest computation and communication costs in data encryption phase and data aggregation phase, thus it is appropriate for many practical applications.