A blockchain-based university data incremental governance system

Abstract

The invention provides a college data increment governance system based on a block chain. The college data increment governance system comprises a data source, a data acquisition layer, a data governance layer, a data storage layer and a data analysis and retrieval layer, wherein the data source comprises but is not limited to service system data, teaching data, machine data and medical data; thedata acquisition layer acquires various data of a data source through an acquisition tool; a multi-source heterogeneous data normalization module of the data governance layer performs normalization conversion on various acquired data and stores the data in a data storage layer; the incremental auditing module carries out pre-auditing management on newly-added unaudited data, the data fingerprint module encrypts the audited data and extracts the data fingerprint of the data, and the authoritative data module generates a random public and private key pair, decrypts the audited data and verifiesthe data fingerprint. By implementing the method and the system, data privacy protection is realized by adopting asymmetric encryption and data fingerprints, intelligent visual management of the datais realized through interactive design, and deep learning is introduced to reduce manual participation degree and auditing workload.

Description

technical field [0001] The invention relates to the technical field of intelligent data processing, in particular to a blockchain-based university data increment management system. Background technique [0002] The data volume of colleges and universities is huge, but the data quality is not good, and the problems of isolation and fragmentation are prominent. Many campus departments have their own digital platforms that are not interoperable and have inconsistent standards. Its data center stores a large amount of complex and complicated data, which wastes resources and cannot be used effectively, and the value of data cannot be fully utilized. In order to solve this problem, the concept of data governance was introduced, supplemented by deep learning, big data computing, etc. to form a complete system architecture to make the data of colleges and universities have vitality, better serve teachers and students, and make the management of colleges and universities more scienti...

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