Power system-oriented network attack damage degree quantification method

A network attack and damage degree technology, applied in the field of electric power information physical system, can solve problems such as the difficulty of intuitively grasping the potential consequences of network attacks, and achieve the effect of good effect, strong applicability, and scientific and reasonable methods

Active Publication Date: 2021-09-28
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for quantifying the degree of network attack damage to power systems, which can solve the problem in the prior art that only analyzes the damage degree of network attacks to power systems for a single attack target, and it is difficult to intuitively grasp the potential consequences of network attacks

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
  • Power system-oriented network attack damage degree quantification method
  • Power system-oriented network attack damage degree quantification method
  • Power system-oriented network attack damage degree quantification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0049] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...

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 provides a power system-oriented network attack damage degree quantification method, which comprises the following steps of: constructing a network attack damage degree quantification model based on an attack propagation probability representation method of a community structure; representing a dynamic evolution process of the network attack by propagation of the network attack, constructing a power system penetration dependency attack graph, and determining an attack path set; designing a damage degree quantitative model based on an attack path, determining an attack strategy set by constructing a network attack graph of the power system, respectively designing objective functions of an information layer and a physical layer, and constructing the damage degree quantitative model by taking an attack strategy as a conditional constraint; and finding an optimal strategy from an attack strategy set, and improving an artificial immune algorithm by using a cross recombination operator to enhance the cooperation efficiency between antibodies to realize model solution. According to the method, accurate characterization of the network attack propagation probability in different situations and at multiple angles is realized, numerical representation of potential consequences of the network attack is realized, and the security state of a power system can be accurately grasped.

Description

technical field [0001] The invention relates to the field of electric power cyber-physical systems, in particular to a method for quantifying the damage degree of network attacks oriented to electric power systems. Background technique [0002] The interdependence between the power information network and the physical network is getting closer, and the scope of cyber attacks is no longer limited to the internal propagation of the information network, and may even be transmitted to the physical network through the high coupling of the cyber-physical system, threatening the safe operation of the power system. Experts and scholars in the power industry have analyzed and summarized the causes of power accidents over the years, and found that there are vulnerable links in the information network of the power system, and combined attacks targeting vulnerable links are the cause of blackouts. [0003] Therefore, how to effectively quantify the degree of damage that can be caused is...

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): H04L29/06H04L29/08G06Q50/06
CPCH04L63/1408H04L63/1416H04L67/12G06Q50/06
Inventor 余通凌颖黎新陈文迪陆力瑜宾冬梅谢铭杨春燕
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID 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