A fine-grained, controllable blockchain rewriting method with a hidden strategy for user tracking, revocation, and attribute cancellation under cloud computing.

By employing a hidden strategy that allows for user tracking, revocation, and attribute cancellation in the blockchain, this fine-grained and controllable blockchain rewriting method utilizes chameleon hashing and outsourced computation technology to solve the problem of data correction in multi-user environments of blockchain systems. This method achieves fine-grained and controllable data rewriting and tracking and cancellation of malicious users, thereby improving the security and scalability of the blockchain.

CN122089320APending Publication Date: 2026-05-26SHANXI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANXI UNIV
Filing Date
2026-02-12
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Blockchain systems lack effective means to legally correct data in multi-user collaborative environments, especially when there are erroneous records, sensitive information leaks, or illegal content, making it impossible to correct data without disrupting the overall structural consistency of the chain.

Method used

This paper proposes a fine-grained, controllable blockchain rewriting method that employs a hidden strategy that allows for user tracking, revocation, and attribute reversal. By replacing traditional hash functions with a policy-based chameleon hash (PCH) and combining it with outsourced computation technology, the method enables attribute verification and key management for data modifiers, supporting fine-grained, controllable data rewriting and tracking and revocation of malicious users.

Benefits of technology

It enables fine-grained, controllable, and rewritable blockchain, improves algorithm efficiency, reduces user burden, enhances data privacy protection, supports attribute revocation and malicious user tracking, ensures that data modifiers can only modify data when access policies are met, and improves the security and scalability of the blockchain.

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Abstract

This invention relates to a fine-grained, controllable blockchain rewriting method under cloud computing, featuring a hidden policy for user tracking, revocation, and attribute cancellation. The invention utilizes traceable and revocable ciphertext policy attribute-based encryption as its technical support. Only when the data modifier's attributes satisfy the access policy embedded in the transaction data written by the data owner in the block can the correct hash collision be found, thus modifying the data and achieving fine-grained, controllable, and rewriteable blockchain functionality. Secondly, by employing outsourced computing technology, some complex calculations are transferred to the data service manager under the cloud service provider, significantly improving algorithm efficiency and greatly reducing the burden on on-chain users. Simultaneously, the access policy written by the data owner in the block is partially hidden, making the controllable and rewriteable blockchain more secure and easier to expand in practical applications, effectively protecting privacy.
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