Machine learning, privacy code determination method, device and electronic equipment

A privacy and code technology, which is applied in the privacy code determination method, device and electronic equipment, and the field of machine learning, can solve the problems of low efficiency of the privacy code method, and achieve the effect of meeting real-time detection requirements, fast execution speed, and improving detection efficiency

Active Publication Date: 2022-04-22
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of this specification provides a method, device, and electronic device for machine learning and privacy code determination to solve the problem of low efficiency in the way of determining privacy codes in related technologies

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
  • Machine learning, privacy code determination method, device and electronic equipment
  • Machine learning, privacy code determination method, device and electronic equipment
  • Machine learning, privacy code determination method, device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0066] In order to solve the problem of inefficiency in the way of determining privacy codes in related technologies, the embodiments of this specification provide a machine learning method and device for determining privacy codes, and a method and device for determining privacy codes based on machine learning. The methods and devices provided in the ...

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 embodiment of this specification discloses a method, device, and electronic device for machine learning and privacy code determination, wherein, the machine learning method can acquire batches of sample data including positive and negative samples, the positive sample data includes privacy code files, and the negative The sample data does not contain privacy code files; based on the similarity measurement parameters of the code files, a plurality of first code files are screened out from the sample data, and the code files are screened out from a preset code library whose privacy labels are known A plurality of second code files; based on the plurality of first code files and the plurality of second code files, determine the target parameters corresponding to the sample data; combine the target parameters corresponding to the sample data and the sample data The label of is used as input to train the target model, and the target model is used to determine the similarity measurement parameters between a batch of code files to be detected and private code files.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method, device and electronic equipment for machine learning and privacy code determination. Background technique [0002] Code is an important asset of a computer program product development company and needs to be protected, especially the privacy code of the company's core system. However, the codes of the development company are various and large in number, and may also contain a lot of non-private codes, such as open source codes and general testing codes. Therefore, if code protection is to be performed, it is first necessary to identify which codes belong to privacy codes, and then provide targeted protection. [0003] At present, preliminary screening is performed based on the code file name, and then the relevant content in the code is manually checked to determine the privacy code that needs to be protected. Obviously this way of determining is ineff...

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 Patents(China)
IPC IPC(8): G06F11/36G06N20/00
CPCG06F11/3604G06N20/00
Inventor 林博
Owner ALIPAY (HANGZHOU) INFORMATION TECH 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