A Study of Blockchain-Based Metadata Management and Its Use for Data Verification
Haruka Hori, Masato Oguchi · 2024
To realize a data-driven society, it is essential to develop a distributed database system capable of managing data with varying levels of trust in a unified manner. In such a system, a robust data verification mechanism is crucial for ensuring the security of all data. However, there are concerns about performance degradation caused by the increased volume of data being verified at each node. To address this issue, we propose limiting the scope of data verification to metadata. In this paper, we implement a metadata management method that ensures reliability. This is achieved by integrating a series of processes related to metadata generation and updating as built-in commands within the Hyperledger Iroha blockchain platform. This integration also enables the implementation of a metadata verification function in a distributed database system. Additionally, using this metadata, we propose methods for both naive and simplified data verification.