Data asset classification protection method based on data evaluation pricing

By conducting value assessment and risk assessment of data assets, combining their business and security sensitivity, classifying data assets, and formulating targeted protection strategies, the problem of unreasonable resource allocation in traditional data protection methods is solved, and the efficiency and accuracy of data protection are improved.

CN119670138APending Publication Date: 2025-03-21黄慧洋
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Patent Information

Application Number
CN202411659592.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-20
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

Traditional data protection methods adopt a one-size-fits-all strategy, failing to effectively consider the economic value and risk levels of data, resulting in unreasonable allocation of protection resources and ineffective response to the growing demand for data security.

Method used

The data asset classification protection method based on data evaluation pricing is adopted. By conducting a comprehensive assessment of the characteristics, usage scenarios and potential risks of data assets, a pricing model of data assets is generated, and the data assets are divided into different categories according to the pricing results, and corresponding access control, encryption, storage and backup protection measures are formulated.

Benefits of technology

It improves the management efficiency of data assets, rationally allocates security resources, reduces overall security costs, and improves the accuracy and effectiveness of data protection.

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Abstract

The invention belongs to the technical field of data asset management, and discloses a data asset classification protection method based on data assessment pricing, which comprises the following steps: S1, data collection: collecting data assets to be assessed, priced and subjected to classification protection, the data assets comprise business data, customer data and financial data in an enterprise, and market data and partner data which are acquired from the outside; and S2, data asset assessment: comprehensively assessing the characteristics, usage scenarios and potential risks of the data assets to generate a pricing model of the data assets. According to the scheme, value evaluation is performed on the data assets, the data classification is determined in combination with business and safety sensitivities of the data assets, and corresponding safety protection strategies are formulated for different types of data, so that the management efficiency of the data assets is improved, safety resources are reasonably allocated, the overall safety cost is reduced, and the precision and effectiveness of data protection are improved.
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