E-LPDAE: An Edge-Assisted Lightweight Power Data Aggregation and Encryption Scheme

Abstract

In smart grid systems, electric utilities require real-time access to customer electricity data; however, these data might reveal users’ private information, presenting opportunities for edge computing to encrypt the information while also posing new challenges. In this paper, we propose an Edge-assisted Lightweight Power Data Aggregation Encryption (E-LPDAE) scheme for secure communication in a smart grid. First, in the edge privacy aggregation model, the data of smart meters are rationally divided and stored in a distributed manner using simulated annealing region division, and the edge servers of trusted organizations perform key one-time settings. The model encrypts the data using Paillier homomorphic encryption. It then runs a virtual name-based verification algorithm to achieve identity anonymization and verifiability of the encrypted data. The experimental results indicate that the E-LPDAE scheme reduces overall system power consumption and has significantly lower computation and communication overhead than existing aggregation schemes.

Cyclic Homomorphic Encryption Aggregation (CHEA)—A Novel Approach to Data Aggregation in the Smart Grid

“…The vast majority of aggregation protocols [13,26,[32][33][34][35][36][37] use a system in which smart meters connect to an intermediate node who aggregates the data before sending them to the distributed system operator. This architecture is outlined in Figure 1.…”