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

Government affair data sharing-oriented localized differential privacy method

A differential privacy and data sharing technology, applied in the field of privacy protection, to achieve the effect of reducing statistical errors, high data utility, and improving reliability

Active Publication Date: 2021-02-05
SHIJIAZHUANG TIEDAO UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0023] The technical problem to be solved by the present invention is to provide a localized differential privacy method for government data sharing to solve the shortcomings of the existing LDP algorithm and improve the accuracy and stability of the estimated results

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
  • Government affair data sharing-oriented localized differential privacy method
  • Government affair data sharing-oriented localized differential privacy method
  • Government affair data sharing-oriented localized differential privacy method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] Below in conjunction with example the present invention is described in further detail.

[0073] The present invention discloses a localized differential privacy method for government affairs data sharing, see Figure 1-Figure 21 , the specific process is detailed as follows.

[0074] 1.1 Data sharing scheme based on localized differential privacy

[0075] In view of the shortcomings of the existing LDP algorithm, we use the idea of ​​data binning on the basis of the CMS algorithm to solve the problem that the current privacy protection algorithm has strict requirements on the amount of data when the data domain is large, and construct a counting sketch matrix for aggregation to Reduce time and space complexity. The advantage of this processing is that data records can be divided into smaller data domains by using the idea of ​​binning. When aggregating data, the data in different subdomains are aggregated in their respective domains, which can prevent the data in th...

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 relates to a government affair data sharing oriented localized differential privacy method, and provides a government affair data sharing method based on localized differential privacy,which introduces a data binning thought on the basis of a CMS algorithm, and divides data records into a smaller data domain range through equal-width binning to form a BCS algorithm. Therefore, the problem of large statistical error of the current privacy protection algorithm when the data domain is large and the data volume is small is solved; and then the data binning thought is extended and applied to the GRR algorithm to form a BRR algorithm, and an obvious effect is also achieved. In order to verify the effectiveness, the improved BCS and BRR algorithms and the CMS and GRR algorithms arerespectively compared and analyzed on a synthetic data set and a real data set, and experimental results show that the method provided by the invention effectively reduces statistical errors, improves the effectiveness under different distribution and data domain sizes, and has higher popularization and application values.

Description

technical field [0001] This patent application belongs to the technical field of privacy protection, and more specifically relates to a localized differential privacy method for sharing government affairs data. Background technique [0002] A smart government needs to use data to help it make more accurate and objective decisions. Among all kinds of data, statistical data is widely used in various fields due to its characteristics of generalization, timeliness and service. In the construction of smart government, there should be a business requirement for sharing statistical data. In order to make more rational decisions, usually a government department will share certain types of data records with other departments according to business needs, and provide auxiliary references for the department's management or service decisions. Government data sharing refers to the process in which government departments transfer information or data from one government department to anot...

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): G06F21/62G06F16/9535G06F16/951G06F17/18
CPCG06F17/18G06F21/6245G06F16/951G06F16/9535
Inventor 朴春慧郝玉蓉蒋学红郑丽娟赵永斌张云佐
Owner SHIJIAZHUANG TIEDAO 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