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

A Situational Awareness Method and System for Improved Prediction

A situational awareness and situational technology, applied in the field of network security, can solve problems such as the inability to predict the security situation, the inability to quantitatively give a situation assessment report, and limited use value

Active Publication Date: 2022-04-12
武汉思普崚技术有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing situational awareness technology can obtain the security situation assessment results of the entire system by using a simple situation understanding, but cannot quantitatively give a situation assessment report, let alone predict the security situation based on the situation assessment results. very limited value

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
  • A Situational Awareness Method and System for Improved Prediction
  • A Situational Awareness Method and System for Improved Prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0045] figure 1 A flowchart of a method for improving forecasted situational awareness provided by the present application, the method comprising:

[0046] Collect the operating status data of sensors, information platforms, and detection equipment from different sources;

[0047] After receiving the collected data, clear the redundant information in the data, convert the data format into a unified format according to the type of source, divide it into corresponding fields, and merge it into a data stream;

[0048] Extract the elements from the merged data stream, discover the behavior, access object, source address, and instantaneous traffic size...

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 present invention provides a situational awareness method and system for improving forecasting, collecting data from different information sources, obtaining a data stream in a unified format through preprocessing, extracting elements from the data stream, generating association rules, and sending them into situational assessment for evaluation and quantification , through the integration with different evaluation systems and fuzzy processing of data elements, the situation value of a single device and a local network is obtained, combined with the structure of the entire network, the situation value of the entire system is obtained, and the situation values ​​at different levels are imported into the neural network model for further evaluation. Prediction, and finally visually display the prediction results, fully evaluate the entire system and each individual device, associate each device and each layer, and introduce a prediction algorithm to predict quantitative situational awareness, so that the future system can be scientifically Prediction, providing users with valuable reference suggestions.

Description

technical field [0001] The present application relates to the technical field of network security, in particular to a situational awareness method and system for improving prediction. Background technique [0002] The existing situational awareness technology can obtain the security situation assessment results of the entire system by using a simple situation understanding, but cannot quantitatively give a situation assessment report, let alone predict the security situation based on the situation assessment results. Very limited value. Predictive algorithms need to be introduced to predict quantitative situational awareness. [0003] The situation assessment of improved prediction not only fully evaluates the entire system and each individual device in terms of algorithms, but also can associate it with each device and each layer based on the given situation value, so that the future system can be scientifically To predict accurately and provide users with valuable refere...

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): H04L9/40G06F16/215G06N3/02
CPCH04L63/1416H04L63/1433H04L63/1408G06F16/215G06N3/02
Inventor 段彬
Owner 武汉思普崚技术有限公司
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