Grade protection risk research and judgment method based on artificial neural network ANNs

An artificial neural network and hierarchical technology, applied in the direction of neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as inability to adapt, achieve improved processing speed, realize automatic output, and change the effect of low efficiency

Pending Publication Date: 2021-04-09
上海三零卫士信息安全有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing hierarchical protection risk research and judgment methods are still mainly based on manual research and judgment. Under the background that the scope of hierarchical p...

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
  • Grade protection risk research and judgment method based on artificial neural network ANNs

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] A method for researching and judging risks of hierarchical protection based on artificial neural networks ANNs, said risk researching and judging method comprising the following steps:

[0023] S1: There are 10 security categories involved in hierarchical protection, including secure physical environment, secure communication network, secure area boundary, secure computing environment, secure management center, security management system, security management organization, security management personnel, security construction ma...

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 the technical field of computer information processing, and in particular relates to a grade protection risk research and judgment method based on an artificial neural network ANNs. The method quantifies grade protection risk research and judgment indexes, and mainly utilizes TSNE and ANNs methods to identify dimension reduction features of risk indexes distributed in multiple dimensions, so as to automatically obtain a corresponding risk value and a risk interval where the risk value is located; and meanwhile, expert knowledge is used for marking the action range and the risk resolution capability of risk resolution means such as safety equipment and safety management measures, the action range and the risk resolution capability automatically match output risk values and risk intervals, and an optimal safety protection scheme is obtained. According to the method, the mode that risk levels are obtained by traditional level protection risk research and judgment through a scoring table is broken through, the processing speed of the level protection risk research and judgment is greatly increased, automatic output of a safety protection scheme is achieved to a certain extent, and the defects that the efficiency of a traditional scoring table and manual research and judgment of an expert is low, and expert knowledge is difficult to reuse are overcome.

Description

technical field [0001] The invention relates to the technical field of computer information processing, in particular to a method for researching and judging graded protection risks based on artificial neural networks (ANNs). Background technique [0002] Network security graded protection (referred to as "level protection") refers to the graded protection of networks and information systems related to the national economy and people's livelihood according to their importance and actual security needs, and the implementation of graded management of security products used in networks and information systems. Information security incidents occurring in the network and information systems are responded and disposed of in different levels. It is the basic system, basic strategy, and basic method to ensure national network and information security. Network security levels are generally divided into five levels, including level one (self-protection level), level two (guidance pro...

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): G06Q10/06G06Q50/30G06N3/04G06N3/08
CPCG06Q10/0635G06Q10/06393G06Q50/30G06N3/04G06N3/08
Inventor 刘彪王骁秦嘉伟
Owner 上海三零卫士信息安全有限公司
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