Smart grid privacy data encryption and sharing algorithm based on multi-key homomorphic encryption

To realize the effective planning and regulation of smart grids, it is necessary to ensure the smart grid private data sharing’s security. A smart grid privacy data encryption and sharing algorithm based on multi-key homomorphic encryption is proposed. This algorithm is based on the smart meters’ private data collected at the device layer, and encrypts the data by using the multi-key homomorphic encryption method of the key generation center. The computing layer interacts with smart meters within its coverage area through fog nodes. After the data collected from smart meters are authenticated and aggregated, the data is transmitted to the cloud storage layer for storage. The data stored in the cloud storage layer is encrypted by using multi - key homomorphic encryption methods and transmitted to the server. After decryption, the server can obtain the details of the private data of each subarea and realize the encryption and sharing of the privacy data of the smart grid. The test results show that the algorithm has good encryption performance, with encryption times all within 700ms. The data decryption probability is above 99.22%, and the communication overhead required for shared transmission is above 2000bit in all cases. The intrusion rate is within 0.3%, ensuring the safe sharing of private data. Research objective: To achieve effective planning and control of smart grids, it is essential to ensure the security of private data sharing within smart grid systems. This paper proposes a smart grid privacy data encryption and sharing algorithm based on multi-key homomorphic encryption.Figure 1. Structure of privacy data encryption and sharing algorithm for smart gridThe architecture of the smart grid privacy data encryption and sharing algorithm centers on multi-key fully homomorphic encryption technology, supported by a key generation center. It presents a five-layer algorithmic structure within a vertical flow, enabling secure encryption and efficient sharing of smart grid privacy data. • Integrating fog computing and blockchain technology • Ensure the security of data transmission and sharing • Reduce communication overhead for data sharing • Adapt to real-time interaction in the power grid