A Power Data Privacy Protection Method Based on Secret Sharing

Abstract

The issue of privacy in electrical power data within smart grids has drawn increasing attention, with power data leakage posing a serious threat to users' personal privacy. Addressing these concerns, this paper proposes a power data privacy protection method based on secret sharing. Firstly, the method utilizes nodes elected through the leader election algorithm in the Raft protocol to replace traditional aggregators for data verification and aggregation operations. This eliminates the need for a trusted third party and enables fault tolerance for intermediate nodes. Secondly, the method incorporates a dynamic secret sharing homomorphic scheme to achieve secure data aggregation, ensuring that even internal attackers can only access aggregated data without obtaining individual power consumption details. Moreover, the scheme employs batch verification techniques to enhance signature verification speed. Experimental analysis indicates that this method exhibits lower computational and communication overhead compared to alternative approaches.