Data leakage prraceion method based on keyword technology

Abstract

The invention discloses a data leakage prraceion method based on a keyword technology. The method includes the following steps that 1, data investigation is conducted on business processes, and sensitive data that the business processes relate to is found; 2, data leakage risks are evaluated; 3, data is defined, wherein through the keyword technology, various document models under various scenes are defined in advance, a keyword system capable of representing data value is found, data to be detected is scanned, and by judging whether or not keywords are hit, it is judged that whether or not the data to be detected belongs to the sensitive data; 4, sensitive data is monitored and prraceed, and captured malicious attempts and malicious races are processed. By the adoption of the data leakageprraceion method based on the keyword technology, it is ensured that at any position and through any usage mode, the data leakage risks can be effectively reduced, and the work efficiency of data leakage prraceion is improved; safety of non-structured data on a user's terminal is protected, so that data leakage prraceion operation is more standardized and intellectualized.

Description

technical field [0001] The invention relates to a data leakage prevention method, in particular to an unstructured data leakage prevention method based on keyword technology applied in petroleum and petrochemical enterprises, and belongs to the technical field of data leakage prevention. Background technique [0002] Data is the core asset of an enterprise. Leakage of a large amount of sensitive data at home and abroad will cause huge damage to the interests of the enterprise, including loss of customers, decline in reputation, loss of core technology, loss of reputation caused by incident exposure, legal issues, and economic compensation. According to the statistics of professional data leakage prevention research institutes, 89% of enterprises have suffered from sensitive information leakage; more than 85% of security leaks come from within the enterprise, and the economic loss reached 605.65 billion US dollars, which is 16 times the loss caused by hackers and 12 times the ...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to combine petroleum and petrochemical enterprises in the process of implementing data leakage protection projects, encountering problems such as unclear data definitions, difficult implementation of data classification and gradin...

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