Implementation method of geographic weighted average center based on secure multi-party computation

A secure multi-party computing and geographically weighted technology, applied in the field of geographically weighted average center based on secure multi-party computing, can solve problems such as easy data leakage, and achieve the effect of solving easy data leakage

Active Publication Date: 2019-08-23
JUZIX TECH SHENZHEN CO LTD +1
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention provides a method for implementing a geographically weighted average center based on secure multi-party computing, to solve or at least partially solve the technical problem of easy data leakage in the methods in the prior art

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
  • Implementation method of geographic weighted average center based on secure multi-party computation
  • Implementation method of geographic weighted average center based on secure multi-party computation
  • Implementation method of geographic weighted average center based on secure multi-party computation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] This embodiment provides a method for realizing the geographically weighted average center based on secure multi-party computing, please refer to figure 1 , the method includes:

[0044] Step S1: Split the calculation part of the method into a local calculation part and a secure multi-party calculation part, wherein the local calculation part specifically includes: the initiator and the receiver respectively preprocess their respective local data.

[0045]Specifically, Secure Multi-Party Computation (Secure Multi-Party Computation, MPC) is an important research direction in the field of cryptography. , or the method of retaining the process data to calculate the data of the other party), collaboratively calculate a functional function, and finally get the correct result fairly. Currently, many computing frameworks have been designed for secure multi-party computing in academia. This solution is based on a general two-party secure computing architecture implemented by G...

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 an implementation method of geographic weighted average center based on secure multi-party computation, which comprises the following steps: splitting a realized algorithm, taking a part which can be locally processed as a preprocessing part, and taking a part which needs to be interactively computed by two parties as an MPC computing part; designing a metadata table and anode information table; and realizing a data preprocessing step in the java program; firstly locally processing respective data according to needs by two computation parties to obtain weighted sums ofX coordinates and Y coordinates of local elements, namely Xa, Ya, Xb and Yb; calculating the weight sum and recording the weight sum as Na and Nb; and initiating MPC calculation by the initiator A torealize the following algorithms: X = Xa + Xb, Y = Ya + Yb and N = Na + Nb, and obtaining the result and sharing and performing post-processing by the two parties. And in the process, the double-transmission data are not leaked, so that the privacy of the data is effectively protected.

Description

technical field [0001] The invention relates to the technical fields of cryptography and spatial information, in particular to a method for realizing a geographic weighted average center based on secure multi-party computing. Background technique [0002] The calculation of the mean center is to calculate the mean center based on the centroid of the input features, and the mean center is a new point. In geographic distribution measurement, you can use the functions provided in the Measuring GeographicDistributions tool set to study the spatial distribution characteristics of features. [0003] In the prior art, in traditional spatial data sharing, each data holder generally sends the data to the sharing platform for processing. [0004] In the process of implementing the present invention, the inventor of the present application found that the method of the prior art has at least the following technical problems: [0005] Through the existing data sharing methods, although...

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): H04L29/06H04L29/08
CPCH04L63/0428H04L67/10H04L2209/50H04L2209/46H04L67/52
Inventor 朱欣焰安瑞沈硕佘冰谢翔孙立林谢红军
Owner JUZIX TECH SHENZHEN CO LTD
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