Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for protecting privacy of users in big data mining environments

A technology of data mining and user privacy, which is applied in the field of big data security and can solve problems such as the lack of user privacy protection methods

Inactive Publication Date: 2013-09-11
霍尔果斯智融未来信息科技有限公司
View PDF4 Cites 21 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 to provide a method for effectively protecting user privacy in view of the lack of user privacy protection methods under big data mining 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
  • Method and system for protecting privacy of users in big data mining environments
  • Method and system for protecting privacy of users in big data mining environments

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] Such as figure 1 As shown, the user privacy protection method under the big data mining of the present invention is executed by the user privacy protection system under the big data mining of the following embodiments, including the following steps:

[0038] S1. Obtain the set value of the user's privacy sensitivity to the uploaded data;

[0039] S2. Classify the users, and determine the sensitivity analysis value according to the set value of the privacy sensitivity of the same user for the same uploaded data. If the sensitivity analysis value is greater than the set value, generate an ear...

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 method and a system for protecting the privacy of users in big data mining environments. The method includes steps of acquiring set values of the privacy sensitivity of the users on upload data; classifying the users, determining sensitivity analysis values according to the set values of the privacy sensitivity of the same kinds of users on the same upload data, generating early-warning information to prompt the users to determine whether to modify the set values of the privacy sensitivity on the upload data or not if the sensitivity analysis values are larger than the set values; setting access permission degrees of data mining algorithms according to the sensitivity analysis values; stopping the corresponding data mining algorithm from accessing the upload data of a certain user if the corresponding set value of the privacy sensitivity of the certain user is larger than the corresponding access permission degree of the data mining algorithm when the data mining algorithm is about to access the upload data of the certain user, or correspondingly processing the data by a data anonymization confusion process and data fragmentation confusion process. The method and the system have the advantages that whether privacy leak can be caused during big data mining or not can be clearly judged, and the privacy of the users can be effectively protected.

Description

technical field [0001] The invention relates to the field of big data security, in particular to a user privacy protection method and system under big data mining. Background technique [0002] Big data is a strategic resource, and the mining of big data can bring huge economic benefits to enterprises. Cloud computing provides technical support for big data. At present, big data mining is facing an important difficulty, that is, big data mining may lead to user privacy leakage. How to protect user privacy under big data mining is an urgent problem to be solved. [0003] Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a method for effectively protecting user privacy in view of the lack of a user privacy protection method under big data mining in the prior art. [0005] The technical solution adopted by the present invention to solve its technical problems is: [0006] A user privacy protection method under big...

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): G06F21/62G06F17/30
Inventor 任伟
Owner 霍尔果斯智融未来信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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