Distributed Storage Scheme based on Dynamic Searchable Encryption
Qingshui Xue, Chenglong Tan · 2023
As the demand for cloud storage continues to grow, both individual users and enterprises are storing their data on cloud servers. However, cloud storage providers' servers are often semi-trusted, leading to frequent occurrences of data leaks in recent years. Currently, searchable encryption is an effective solution to safeguard data stored in the cloud. However, traditional searchable encryption is not well-suited for large-scale data and multiple users in cloud storage, as it results in low retrieval efficiency and consumes substantial resources.To address these issues, this paper proposes a distributed cloud storage solution using dynamic searchable encryption. The data stored in the cluster is verified and partitioned using the consistent hashing algorithm, avoiding single point failures and data loss in the index. The scheme utilizes multi-gate distribution to achieve efficient and parallel keyword retrieval, ensuring secure data searches and implementing a distributed storage system that is efficient, scalable, and load-balanced in a distributed environment.This approach primarily focuses on striking a balance between security, retrieval efficiency, and query accuracy. It achieves secure data storage and retrieval while ensuring high performance and accuracy in a distributed setting.