Power Data Aggregation Method Based on Improved Paillier Homomorphic Encryption

In response to the privacy and security issues arising from the transmission of electricity usage data in smart grids, this paper proposes a power data aggregation method based on an improved Paillier homomorphic encryption scheme. By integrating smart meters, data collection stations, and blockchain nodes, we construct a system model. The improved Paillier homomorphic encryption algorithm enables the encryption, aggregation, and verification of users’ electricity data. Experimental results demonstrate that this method not only protects user privacy and ensures data integrity but also significantly reduces the computational overhead associated with the encryption and aggregation processes, thereby enhancing the efficiency and security of power data aggregation.