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A method and device for dynamically updating data leakage prevention strategies combined with machine learning

A machine learning and anti-leak technology, applied in the field of data security, can solve the problems of low correlation of confidential information and inability to train a good matching degree strategy.

Active Publication Date: 2020-07-10
北京明朝万达科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In particular, for intelligent clustering type policy generation, generally speaking, due to the small number of samples in advance, or the low correlation between samples and the actually sent secret information, it is impossible to train a good matching policy

Method used

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  • A method and device for dynamically updating data leakage prevention strategies combined with machine learning
  • A method and device for dynamically updating data leakage prevention strategies combined with machine learning
  • A method and device for dynamically updating data leakage prevention strategies combined with machine learning

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but not as improper limitations to the present invention.

[0041] Machine learning, machine learning algorithm refers to an algorithm that automatically analyzes and obtains laws in one type of data, and uses the laws to predict unknown data.

[0042] DLP, data leakage prevention protection, refers to a set of systems that prevent the specified data or information assets of an enterprise from flowing out of the enterprise in a form that violates security policies through certain technical means.

[0043] The policy system, commonly found in DLP systems, is used to judge the outbound data acquired by the DLP system by predefining some data outflow constraints.

[0044] Matching threshold, for the policy generated by machine learning training, a ma...

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Abstract

The invention discloses a method and a device for dynamically updating a data leakage prevention strategy combined with machine learning, The method comprises the following steps: training and generating a machine learning strategy according to a sensitive document input by a user, configuring a high / low precision matching threshold and a low precision matching threshold in the strategy system, and sending the machine learning strategy to a DLP system; when a user document is to be sent out, performing sensitive information identifying on the user document; and determining whether to update the machine learning strategy based on a screening result of a strategy administrator for the user document. The scheme of the invention ensures the interception of sensitive information by setting matching thresholds with different precisions, and re-trains machine learning by manual screening to obtain a new machine learning strategy and improve the efficiency of data protection.

Description

technical field [0001] The invention relates to the field of data security, in particular to a method and device for dynamically updating data leakage prevention strategies combined with machine learning. Background technique [0002] With the increasing importance of data security, how to protect internal data from being leaked has gradually attracted the attention of all levels of society. Many companies have put forward higher requirements for the security of internal sensitive data, not only to improve the protection of outgoing data Reliability, and put forward higher requirements for the ease of use of the policy system. [0003] Data leakage (leakage) prevention (Data leakage prevention, DLP), also known as "data loss prevention" (Data Loss prevention, DLP), sometimes also known as "information leakage prevention" (Information leakage prevention, ILP). Data Leakage Prevention (DLP) is a strategy to prevent specified data or information assets of an enterprise from fl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/60G06F21/62G06F16/35
CPCG06F21/604G06F21/6218
Inventor 龚剑喻波王志海魏效征安鹏韩振国
Owner 北京明朝万达科技股份有限公司
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