Data auditing method and device based on Merkel tree and block chain
By employing a data auditing method based on Merkle trees and blockchain, and utilizing global indexing and hash calculation, the problem of trust deficiency in cross-institutional data collaboration is solved. This enables efficient verification of data authenticity and integrity without exposing the full amount of data, and establishes a decentralized trust mechanism.
Patent Information
- Application Number
- CN202610100024.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-26
- Publication Date
- 2026-02-27
- Estimated Expiration
- 2046-01-26
AI Technical Summary
In cross-agency data collaboration scenarios, data users cannot verify the full amount of data claimed by data providers, leading to a lack of trust. Existing solutions are costly or infringe on privacy and cannot effectively prevent data providers from exaggerating the scale by maliciously omitting data.
The data auditing method based on Merkle trees and blockchain is adopted. By introducing a continuous and unique global index, combined with hash calculation and blockchain notarization, it ensures that the verification of a single data item is precisely bound to the scale of the entire data. The auditor only needs to verify based on its own data and the index and proof provided by the provider.
It enables efficient and reliable verification of data authenticity and integrity without exposing the full data content, establishes a decentralized trust mechanism, ensures data sovereignty and privacy, and provides credible comparison benchmarks and evidence storage.
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Figure CN121585378A_ABST
Abstract
Citation Information
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