Privacy protection distributed computing method and system for dynamically loading code library

A distributed computing and privacy protection technology, applied in the field of cloud platform distributed computing and cloud user privacy protection, it can solve problems such as performance impact and triggering, and achieve the effect of guaranteed minimization, guaranteed trusted area, and high performance

Active Publication Date: 2020-09-29
PEKING UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these code bases are not always called. If they are always kept in the trusted area, it will cause EPC-paging to be triggered in advance, which will have a great performance impact on the currently executing tasks.

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 protection distributed computing method and system for dynamically loading code library
  • Privacy protection distributed computing method and system for dynamically loading code library
  • Privacy protection distributed computing method and system for dynamically loading code library

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to further illustrate the features and advantages of the present invention, the following will be described in detail with reference to the accompanying drawings.

[0046] This embodiment provides a privacy-protected distributed computing method and system for dynamically loading a code base, using an open source distributed cluster Hadoop MapReduce as the underlying system support, and providing a series of security execution components on it. The system is fully compatible with the native MapReduce programming framework. If the user needs to run the job in a privacy-protected manner, it can be achieved by calling the provided API in the code. At the same time, this system also has good portability. By implementing the corresponding computing interface, it can also be applied to other clusters, such as Apache Spark and Storm.

[0047] Before using this system, the system needs to be deployed. In addition to following the deployment method of the original Had...

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 privacy protection distributed computing method and system for dynamically loading a code library. The invention relates to the field of cloud platform distributed computingand cloud user privacy protection. The confidentiality of data, job codes and a code library depended by a cluster of the cloud platform during job execution is protected; therefore, a malicious cloudinternal attacker cannot obtain and tamper the code and input data of the user in the job execution process; privacy information of a user in the cloud computing process is guaranteed, various attacks mentioned above can be successfully resisted, frequent page exchange and on-demand dynamic code library loading in the task execution process are avoided by introducing verifiable secret sharing andan inadvertent transmission protocol, and minimization of a trusted area is guaranteed.

Description

technical field [0001] The invention relates to the field of cloud platform distributed computing and cloud user privacy protection, specifically a distributed computing that is applied on the cloud platform, allows dynamic tasks to load the required code library, and protects the confidentiality of user data and codes during job execution. methods and systems. Background technique [0002] Cloud computing is currently a mainstream method for processing massive data. Users deploy distributed systems, namely clusters, by renting resources provided by cloud service providers, and upload input data to the cloud to execute distributed jobs. After the job is completed, the user downloads the output from the cloud to obtain the result. But in some scenarios, such as online medical treatment or genetic testing, user input data is often private. If it is directly uploaded to the cloud in plain text, it will be obtained by a malicious internal cloud attacker (such as a cloud admin...

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): G06F21/62G06F21/60
CPCG06F21/6218G06F21/602
Inventor 吴鹏飞沈晴霓吴中海杨雅辉
Owner PEKING 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
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