Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Sensitive identification method based on knowledge graph

A technology of knowledge graph and recognition method, which is applied in special data processing applications, instruments, semantic tool creation, etc., and can solve problems such as slow recognition speed

Pending Publication Date: 2021-01-01
GUANGXI NORMAL UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main process is as follows: the user defines the sensitive data pattern matching formula, determines the dictionary matching range according to the predefined model, and then uses the dictionary matching to scan the target for matching, after the scanning is completed, manually filters the matching results, and matches the pattern data Optimized, but the recognition speed will be slow due to judging criteria and dictionary matching problems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sensitive identification method based on knowledge graph
  • Sensitive identification method based on knowledge graph
  • Sensitive identification method based on knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0030] see figure 1 with figure 2 , the present invention provides a sensitive identification method based on a knowledge map, comprising the following steps:

[0031] S101. Perform preprocessing on the acquired raw data, and construct a model diagram of the user's item.

[0032] Specifically, the original data includes structured rating data and unstructured text data, such as user reviews and product d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a sensitive recognition method based on a knowledge graph, and the method comprises the steps: firstly carrying out the preprocessing of an obtained original data set in orderto build a user commodity knowledge graph, building a mode graph of a user-article through the preprocessed data, and then building the knowledge graph according to the preprocessed data and the modegraph; secondly, in order to identify the sensitive data, complementing the sensitive relationship which originally does not exist between the user and the object in the knowledge graph through the constructed sensitive relationship reasoning rule; and finally, inquiring sensitive data from the whole knowledge graph and outputting the sensitive data. The recognition speed is increased.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a sensitive identification method based on a knowledge map. Background technique [0002] The recommendation system is an information filtering tool, which aims to accurately predict the user's preference for the product, so as to present the product that is more valuable to the user to them first. The user's historical behavior data is the supporting basis of the recommendation system, and the user's historical behavior data often involves the user's personal sensitive data. The premise of privacy protection for sensitive data is to be able to select sensitive data from a large amount of data and complete the identification of sensitive data. [0003] Traditional sensitive data identification methods mainly include dictionary matching method and manual identification. Most of the industry uses a combination of dictionary matching methods and manual identification methods...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/9535G06F16/36
CPCG06F16/9535G06F16/367Y02D10/00
Inventor 王利娥李小聪李先贤
Owner GUANGXI NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com