Conjunctive Dynamic Searchable Encryption Scheme for Smart Grid Data in the Cloud
Yijing Zhang, Dejiang Su, Yun Zhao, Haolin Wang, Ziwen Cai, Yuxin Lu · 2024
With the rapid development of smart grid technology, a vast amount of electrical data is being generated. This data is crucial for energy management, demand forecasting, and grid optimization. Cloud computing technology offers a extensible, cost-efficient, and easy-to-maintain solution for the storage, utilization, and sharing of this massive amount of data. For the scenario of secure sharing of smart grid data in the cloud, this paper proposes a dynamic searchable encryption scheme with conjunctive keyword searches. Data owners encrypt the document encryption key and the data needed to construct traps using the public key of authorized data users. To improve the retrieval efficiency of the cloud server, the scheme designs keyword tags for documents and uses bloom filters for discrimination, avoiding the linear correlation between search time and total number of documents, thereby achieving fast and efficient conjunctive keyword searches.