Text sensitive information recognition method based on semi-supervised learning

Abstract

The invention relates to the technical field of information safety, and discloses a text sensitive information recognition method based on semi-supervised learning. The method comprises the steps of 1, based on learning texts in a labeled sensitive text set and an unlabeled unknown text set, conducting semi-supervised learning to obtain a classified strategy knowledge base; 2, conducting Chinese participle and stop words processing on a text to be detected to obtain characteristic element data in the text; 3, using a characteristic vector to represent the characteristic element data, and extracting a characteristic value; 4, using a classified strategy database to conduct sensitive text nature judgment on the characteristic value, and giving a judgment result of the sensitive text or a safe text. According to the text sensitive information recognition method based on semi-supervised learning, a small amount of sensitive texts are labeled, a large amount of text sets are subjected to semi-supervised learning, and the expandable capacity and the practicability of sensitive information recognition can be improved.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to a text sensitive information identification method based on semi-supervised learning. Background technique [0002] For modern society, data is the asset of enterprises, data is people's privacy, and it is the embodiment of the core competitiveness of many industries. Effective protection of key sensitive data of an enterprise can make the enterprise itself invincible in the fierce business competition; protection of personal sensitive information can prevent its leakage from causing social harm. Therefore, in recent years, hot research on sensitive data identification has been spawned. This problem involves many fields such as text mining and information security, and is the core technology of the data security product DLP (Data Leakage Prevention). [0003] Existing sensitive information identification methods include basic detection technology and advanced detec...

AI Technical Summary

Problems solved by technology

In this process, the sensitive information data set used for learning must reflect the sensitive information of the problem domain as true and complete as possible, otherwise the accuracy of the algorithm will be greatly reduced

However, the reality is that the labor cost of labeling the nature of documents is high, and a large number of unknown documents are easier to obtain. It is difficult for us to obtain such a complete sensitive data set, which limits the use of these methods.

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