Data auditing method based on block chain

Abstract

The invention discloses a data auditing method based on a block chain, and the data auditing method comprises the steps: respectively constructing an auditing logic configuration table and an auditingresult code mapping table, and enabling the auditing logic configuration table and the auditing result code mapping table to be stored in an uplink manner; constructing auditing logic according to the auditing logic configuration table on the chain, and storing the auditing logic on the chain; auditing the business data table according to the auditing logic on the chain to obtain an auditing result which comprises an auditing result code; uploading and storing the audit result; and obtaining audit result description on the audit result code mapping table on the chain through the audit resultcode. The unified auditing logic configuration table is established, and auditing logic can be rapidly constructed through the auditing logic configuration table, and repeated development is avoided,and the auditing logic configuration table and the auditing logic are uploaded and stored through the intelligent contract, and the auditing logic configuration table and the auditing logic have the tamper-proof property, and the reliability and the supervisibility of the auditing result are improved.

Description

technical field [0001] The invention relates to the technical field of data auditing, in particular to a blockchain-based data auditing method. Background technique [0002] With the vigorous development of blockchain technology and the emphasis on blockchain technology at the national level, the technical characteristics of blockchain such as weak centralization, distributed storage, non-tampering, and smart contracts have been applied to a wide range of fields. [0003] Therefore, using the technical advantages of blockchain to reshape traditional industries and solve technical problems in traditional industries has become the key to the application of blockchain technology. There is asynchronous information between different data statistics systems, resulting in data inconsistencies between systems. Problems can only be found through user complaints or manual audits. Different audit scenarios require different audit logics, such as telecom operators, smart cities, and sm...

AI Technical Summary

Problems solved by technology

There is asynchronous information between different data statistics systems, resulting in data inconsistencies between systems, and problems can only be found through user complaints or manual audits

Different audit scenarios require different audit logics, such as telecom operators, smart cities, and small and medium-sized enterprises. The data structures are different, so different audit logics need to be applied. Existing data audits often need to target different application scenarios Develop different audit logic, resulting in repeated development

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