Lightweight privacy preserving data aggregation with batch verification for smart grid

By analyzing the electricity usage data collected from users in a smart grid, the grid provider can flexibly adjust the power distribution policy. In such a setting, it is also important to ensure the confidentiality of users’ electricity usage data and the privacy of users. In this paper, we propose an efficient scheme for a smart grid that achieves lightweight aggregation, based on a novel symmetric homomorphic encryption scheme. In addition, we design an authentication agreement scheme that builds upon the password authenticated key exchange (PAKE) protocol. Our security analysis demonstrates that our proposed scheme guarantees the confidentiality and integrity of electricity usage data, as well as the privacy of users. Evaluation of the performance of our proposed scheme also demonstrates that we achieve efficient data aggregation, with only minimal computational overhead generated at the smart meter. A comparative summary of our proposed scheme with three other schemes shows that our proposed scheme is more secure and efficient.