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

Individual network security awareness situation prediction method

A network security and prediction method technology, applied in the field of individual network security awareness situation prediction, can solve the problems of small calculation, insufficient theoretical system, high data requirements, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2018-07-27
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is suitable for a large or small number of samples and irregular or regular samples, with a small amount of calculation, but this method is limited by the gray system, that is, a system with incomplete information and non-uniqueness, and the theoretical system is not perfect.
[0010] 4. Cox proportional hazards
This method avoids the limitations of the promotion and application of mathematical formulas, and is widely used. Anyone can score the model variables with scoring rules to obtain the predicted probability. However, the application conditions of the Cox proportional hazards regression model are easy to be ignored, and the data requirements are high. Tracking Long time and high cost

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
  • Individual network security awareness situation prediction method
  • Individual network security awareness situation prediction method
  • Individual network security awareness situation prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to better illustrate the purpose and advantages of the present invention, the embodiments of the method of the present invention will be described in further detail below with reference to examples.

[0034] Training set 1 is the cross-sectional survey data of 1,429 students from the School of Information and Electronics, Beijing Institute of Technology, in September 2017, and 1,429 students from the School of Information and Electronics, and 1,429 doctors. The panel data of the group in September 2017 and December 2017. The test set is the survey data of 1429 students from the School of Information and Electronics, Beijing Institute of Technology, and the survey data in February 2018. The specific process is:

[0035] Step 1: Preprocessing and attribute selection of the survey data of 1,429 students from the School of Information and Electronics, Beijing Institute of Technology, in September 2017, from the first to the third grade and the Ph.D.

[0036] Step 1...

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 an individual network security awareness situation prediction method, and belongs to the technical field of computer and information sciences. The method comprises the steps of firstly performing pre-treatment and attribute selection on network security awareness data of a common individual, then judging an individual network security awareness level, using a naive Bayes algorithm to work out each level initial probability of the individual, initial probability of the individual and a single-step transfer matrix, and build a Markov chain, and thus building a network security awareness situation change probability prediction system for crowds with different risk levels. Compared with the prior art, the method provided by the invention can select the prediction modelwith the corresponding risk level according to the data input by different individuals and predict the change probability in many years while further enhancing the prediction accuracy of the individual network security awareness situation change probability, is fast in processing speed, and can achieve the purposes of predicting the future security awareness situation change probability of the individual and nipping in the bud.

Description

technical field [0001] The invention relates to a method for predicting an individual network security awareness situation, and belongs to the technical field of computer and information science. Background technique [0002] Network security awareness is a psychological state of alertness that people cause damage to information or the medium in which it is located. In order to solve the problem of frequent security incidents caused by weak cybersecurity awareness, which adversely affects individuals or groups, it is necessary to predict the cybersecurity awareness situation and intervene in advance. Therefore, the present invention will provide an individual network security awareness situation prediction method to intervene in the network security awareness situation early and enhance the practical application of network security awareness education. [0003] The basic problem that needs to be solved in the individual network security awareness situation prediction method...

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): H04L12/24H04L29/06
CPCH04L41/147H04L41/145H04L63/20
Inventor 罗森林李蕊潘丽敏尚海郝靖伟杨鹏陈亮陈禹
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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