Enterprise data privacy protection evaluation method based on hierarchical model

Abstract

The invention discloses an enterprise data privacy protection evaluation method based on a hierarchical model, and the method comprises the following steps: evaluating the maturity score of each environment factor in multiple fields, and obtaining an enterprise data privacy maturity self-evaluation initial score; constructing an enterprise data privacy protection hierarchical model, assigning an index weight and performing initial processing to obtain an index subjective weight; standardizing the initial subjective index value to obtain a standard index; on the basis of the Shannon entropy theory, calculating entropy values of standard indexes, and determining objective weights of the indexes; in combination with the index objective weight, calculating a subjective and objective index comprehensive weight and processing to obtain an index vector; and obtaining an enterprise data privacy maturity score of each environmental factor according to the enterprise data privacy maturity self-evaluation initial score and the index vector. According to the invention, the maturity analysis model of the enterprise data privacy is constructed, so that enterprises are helped to clarify involvedlinks which easily cause data privacy leakage in a real business environment, the privacy of users is protected, and the security level of the enterprises is enhanced.

Description

technical field [0001] The invention relates to the field of data security in enterprise management, in particular to a hierarchical model-based evaluation method for enterprise data privacy protection. Background technique [0002] The impact of free cross-border data transmission on economic growth is gradually expanding in international trade, making the regulation of cross-border data flow a focus of international trade negotiations. Especially from the perspective of privacy compliance and protection, the advancement of technology is also intensively revealing the hidden data privacy and security supervision issues under the increasingly prosperous commercial trade and rising economic conditions. The way of collecting, storing, processing and analyzing massive amounts of big data has brought about unprecedented privacy concerns. [0003] Especially in 2020, the new crown pneumonia epidemic has accelerated the rapid promotion of new technologies such as 5G, artificial i...

AI Technical Summary

Problems solved by technology

[0010] At the same time, it is found in a large number of enterprise application practice cases that many enterprises lack solid theoretical support in the research on data privacy supervision issues, and only rely on some customary or rectification methods of enterprises to deal with today's data supervision issues

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