Efficient Private-Preserving Range Query Scheme Based on Protocol Combination for Smart Grid Data
Yun Zhao, Xiaohua Yang, Haolin Wang, Yiming Zhang, Ziwen Cai, Yuan Ai · 2024
Range query is an important data query technology in location-based services and cloud-based power data systems in power systems. However, as the scale of electric power services continues to expand and the number of electric power devices and the volume of data continue to surge, traditional smart grid infrastructures are increasingly unable to meet the burgeoning demands for data storage and management. Simultaneously, they fall short in satisfying the rapidly growing need for swift information retrieval within the electric power industry. In this paper, we propose a privacy-preserving range query solution tailored to user data within smart grids. This solution encompasses various protocols, including data comparison protocol and range merging protocol, and aims at combining different queries to improve query efficiency. Furthermore, we optimize the initial range query scheme by reducing the online time of cloud servers, thereby resulting in reduced overhead and better query efficiency. We conduct a succinct security analysis and comparative experiments. The results demonstrate that our solution achieves query time only 10% of that of the compared approach under optimal conditions.