Cross-domain data sharing audit traceability system and method, storage medium and program

Abstract

The invention belongs to the technical field of big data application, and discloses a cross-domain data sharing audit traceability system and method, a storage medium and a program, being characterized in that each institution joins a data sharing domain and provides shared data; users accessing the data resources in a cross-domain manner perform cross-domain authentication through a blockchain agent; users accessing the data resources in a cross-domain manner perform access control through the blockchain agent; the cross-domain access user subjected to authentication and access control operates the shared data, and the blockchain agent monitors the identity and operation behavior of the user, and writes the user information and operation behavior into the blockchain; the auditing user passing the identity authentication uses the blockchain agent to read the data on the chain; and the auditing user audits and traces the data, and a result is displayed in a visual mode. The cross-domaindata sharing audit traceability system and method have great practical value in the aspects of strengthening data security guarantee capability and improving big data application supervision capability, and have wide application prospect in the aspects of promoting social governance system and governance capability modernization construction.

Description

technical field [0001] The invention belongs to the technical field of big data applications, and in particular relates to a system, method, storage medium, and program for cross-domain data sharing audit traceability. Background technique [0002] With the rapid development of Internet technology, the demand for data resource sharing has also increased. The main problems in the practice of data resource sharing are as follows: First, it is difficult to open and share data resources. There are various gaps in government data and social data. They are constructed and managed separately. Data structures and data interfaces lack unified norms and standards. There are many sharing barriers and high costs. It is difficult to realize the sharing of data resources across agencies, departments, and industries. Second, the management and traceability of data resources is difficult. In the application process of data resources, abuse of data, tampering with data, destruction and leak...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of Internet technology, the demand for data resource sharing has also increased. The main problems in the practice of data resource sharing are as follows: First, it is difficult to open and share data resources.

There are various gaps in government data and social data. They are built and managed separately. Data structures and data interfaces lack unified norms and standards. There are many barriers to sharing and high costs. It is difficult to realize the sharing of data resources across agencies, departments and industries.

Second, the management and traceability of data resources is difficult

In the application process of data resources, abuse of data, tampering with data, destruction and leakage of data often occur, lack of supervision capabilities, lack of evidence storage and evidence collection capabilities, and difficulties in application supervision and security management in the process of data resource sharing

Third, it is difficult to jointly build and trust data resources

The focus of these solutions is relatively single, especially authentication access and blockchain data reading and writing are often implemented independently, lack of integrated design, resulting in low technical level, difficult management and maintenance, high implementation costs, and unsound trustworthiness mechanism for cross-domain data sharing audit traceability

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