A blockchain-based computer science data tamper-proofing processing method and system

By using a blockchain-based approach, data feature fingerprints are generated and a dynamic Merkle tree is constructed. Combined with distributed node verification, the risk of untampered data storage is resolved, enabling data immutability, traceability, and consistency verification, thereby improving data integrity and attack resistance.

CN121919899BActive Publication Date: 2026-06-09CHONGQING FIVESHIELD TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING FIVESHIELD TECH CO LTD
Filing Date
2026-03-24
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies rely on centralized servers to store verification codes, which poses a risk of undetectable tampering due to the theft of administrator privileges. Furthermore, in a distributed environment, the lack of a multi-node consensus mechanism makes it impossible to achieve non-repudiable timestamp proof of the data generation source, resulting in insufficient real-time performance and accuracy of data integrity verification.

Method used

By using a blockchain-based approach, data feature fingerprints are generated by capturing computer terminal operation logs. A dynamic Merkle tree is constructed by combining high-precision timestamps and parent block hash values. Multi-node cross-verification is performed using the Byzantine fault tolerance protocol of distributed nodes to generate consensus judgment results. The root node hash is written into the block header to establish an immutable data traceability mechanism.

Benefits of technology

It achieves immutable and traceable data throughout the entire lifecycle, eliminates single points of trust crisis, ensures absolute consistency of multi-source heterogeneous data during transmission and storage, and improves anti-attack capabilities and disaster recovery efficiency.

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Abstract

The present application relates to the technical field of data integrity, in particular to a computer science data tamper-proofing processing method and system based on block chain, comprising the following steps: capturing original logs and calculating feature fingerprints through a special interface, combining time stamps and parent hashes to build a time sequence verification unit, assembling a dynamic Merkle tree, synchronizing it to a distributed network, using a consensus engine for network-wide verification, and if the verification is passed, writing the tree root information into a new block and linking it to the main chain database.In the present application, by constructing a Merkle tree storage structure based on dynamic time sequence characteristics, the original data fingerprint is bound to the generation timestamp through nonlinear mapping, realizing the full life cycle of non-tamperable traceability, using a lightweight consensus verification mechanism between distributed nodes to replace traditional centralized authentication, combining smart contracts with automatic rollback and locking logic for differential data, ensuring the absolute consistency of multi-source heterogeneous data during storage.
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