Privacy calculation method based on multivariate polynomial

A calculation method and polynomial technology, applied in the information field, can solve problems such as low accuracy and low efficiency of privacy computing technology, and achieve high operating efficiency

Pending Publication Date: 2022-04-29
浙江数秦科技有限公司
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the current privacy computing technology has the problem of low efficiency or low accuracy

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
  • Privacy calculation method based on multivariate polynomial
  • Privacy calculation method based on multivariate polynomial
  • Privacy calculation method based on multivariate polynomial

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] A multivariate polynomial-based privacy calculation method, please refer to the attached figure 1 , including: Step A01) The first participant generates N variables and assigns values, and assigns m variables to each privacy number, and the variables assigned to the privacy number are different from each other; Step A02) All participants are Generate a polynomial expression of m variables; Step A03) The second participant establishes a polynomial fitting of the objective function; Step A04) All participants submit the polynomial expression of the privacy number to the selected second participant; Step A05 ) The second participant substitutes the polynomial expression of each privacy number into the polynomial fitting, obtains the second polynomial after expansion, and sends the second polynomial to the first participant; Step A06) The first participant converts the variable The value is substituted into the second polynomial to obtain the result of the objective functio...

Embodiment 2

[0025] A multivariate polynomial-based privacy calculation method, please refer to the attached Figure 4 , the method of generating sample data includes: Step D01) All participants divide the value range of their privacy numbers into several intervals, and count the probability that their privacy numbers fall into each interval, as the interval probability; Step D02) All participants send the value range and interval probability of the private number to the second participant; Step D03) The participant randomly generates an example number within the value range of the private number, so that the distribution probability of the example number in the interval is equal to the interval probability ; Step D04) Randomly combine the example numbers of privacy numbers into value groups, and substitute the value groups into the objective function to obtain the result of the objective function; Step D05) Use the result as a label value to mark the value group as sample data. The accura...

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 the technical field of information, in particular to a privacy calculation method based on multivariate polynomials, a first participant generates N variables and assigns values, m variables are allocated to each privacy number, and the variables allocated to the privacy numbers are different from one another; all participants generate polynomial expressions of m variables for each private number owned by the participants; the second participant establishes polynomial fitting of the target function; all participants submit the polynomial expression of the privacy number to the selected second participant; the second participant substitutes the polynomial expression of each privacy number into polynomial fitting, a second polynomial is obtained after expansion, and the second polynomial is sent to the first participant; and the first participant substitutes the variable value into the second polynomial to obtain a result of the target function, namely a privacy calculation result. The method has the substantive effects that any function can be fitted through the polynomial, privacy calculation of complex operation can be completed, and the method has relatively high operation efficiency.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a privacy calculation method based on multivariate polynomials. Background technique [0002] Privacy computing refers to a collection of technologies that realize data analysis and calculation on the premise of protecting the data itself from being leaked to the outside world, so as to achieve the purpose of "usable and invisible" data; on the premise of fully protecting data and privacy security, realize the conversion of data value and release. At present, the safe use of data, such as data desensitization or anonymization, must be at the expense of part of the data dimension, resulting in the ineffective use of data information. And privacy computing can maximize the value of data as much as possible under the premise of ensuring security. As data plays an increasing role in the economy, so does the need for private computing. The current privacy computing methods mai...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62
CPCG06F21/6245
Inventor 张金琳俞学劢
Owner 浙江数秦科技有限公司
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap