Data Secure Storage Mechanism for Trustworthy Data Space
Xinyi Yang, Qicheng Luo, Jiang Xu, Qinghong Cao · Electronics · 2025
In today’s rapidly evolving data environment, secure and efficient storage solutions are fundamental to supporting the robust development of the data economy. Trustworthy data space serves as an innovative technological framework for addressing critical challenges in data circulation. It is specifically designed to facilitate the secure exchange in data elements and overcome trust barriers in cross-organizational data sharing. However, current decentralized storage architectures still have significant implementation gaps. Practical deployment and system integration remain substantial challenges for existing technological solutions. To address these issues, this paper first conducts a systematic analysis of existing trusted data storage methods. On this basis, it proposes a data-secure storage mechanism based on polynomial commitment. This mechanism uses polynomial commitment to implement data storage and verification, thereby ensuring data integrity and consistency. Meanwhile, it integrates homomorphic signature technology to guarantee the authenticity of data sources without disclosing original data. Additionally, a data modification recording function is introduced to ensure the traceability of all operations. Experimental results show that the proposed scheme achieves superior performance in three key aspects: communication overhead, storage efficiency, and data update costs.