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

Oil and gas pipe network SCADA security defense method based on factor neural network

A factor neural network and security defense technology, applied in the field of SCADA security defense of oil and gas pipeline network, can solve the problems of unknown attack defense capability discount, not allowing production parking, etc., to achieve the effect of improving security protection level and strong pertinence

Inactive Publication Date: 2014-09-03
SOUTHWEST PETROLEUM UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But they all have a common fatal shortcoming, there is serious hysteresis
The hysteresis brought about by this passive defense often makes the defense capabilities of the above defense technologies greatly reduced against unknown attacks.
In addition, for the existing oil and gas gathering and transportation pipeline network SCADA system, production shutdown is not allowed during the transformation process, so there are certain limitations in the transformation and application of firewall and other hardware security isolation technologies in industrial systems

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
  • Oil and gas pipe network SCADA security defense method based on factor neural network
  • Oil and gas pipe network SCADA security defense method based on factor neural network
  • Oil and gas pipe network SCADA security defense method based on factor neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The embodiment of the present invention provides a security defense method for oil and gas pipeline network SCADA based on factor neural network, which is specially designed for active, effective and system-level security defense for hosts of large-scale oil and gas gathering and transportation pipeline network SCADA systems.

[0026] In order to present the intent, technical solutions, and technical advantages of the present invention more clearly, the present invention will be further illustrated in detail with reference to the following figures.

[0027] The block diagram of the overall structure of the SCADA security defense method for oil and gas pipeline network based on factor neural network, as shown in figure 1 As shown, including: executive neuron, factor knowledge base neuron, statistical neuron, tracking neuron, analysis neuron, evaluation neuron, early warning neuron, management neuron, scheduling and assembly neuron; the system consists of the above-mention...

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 discloses an oil and gas pipe network SCADA security defense method based on a factor neural network. The method is characterized in that security defense of an SCADA system with distributed type characters is achieved through various analysis type factor nerve cells and a coordination mechanism of the factor nerve cells. The nerve cells comprise execution nerve cells, factor knowledge base nerve cells, statistic nerve cells, tracking nerve cells, analysis nerve cells, evaluation nerve cells, early-warning nerve cells, management nerve cells and scheduling and assembling nerve cells. The execution nerve cells are distributed on various levels of industrial personal computers, engineer stations and operator stations in a three-layer network structure of the distributed SCADA system to capture and judge behavior factors (for short, factors) of operation programs and compare the behavior factors with factor knowledge base in the factors to judge whether the programs are rogue programs, and corresponding measurements are adopted; the execution nerve cells are coordinated with other nerve cells to achieve security defense, threat early warning and security evaluation of the overall SCADA system.

Description

technical field [0001] The invention relates to a safety defense method for oil and gas pipeline network SCADA based on a factor neural network, which is used for security protection of industrial computers, engineer stations, operator stations and other computers in the large-scale oil and gas gathering and transportation pipeline network SCADA system, and improves the security of oil and gas pipelines. Network SCADA system security protection level. Background technique [0002] With the continuous development of the Internet age, computers have gradually spread to all aspects of our lives. For industrial systems, computers have become an important part of them. While computers have brought great convenience to industrial systems, they have also brought huge security risks. In 2010, the computer system of Iran's nuclear facilities was attacked by the Stuxnet virus, and about 900 centrifuges stopped working. Stuxnet was the world's first computer virus written for indust...

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): G06F21/56
CPCG06F21/55G06N3/04
Inventor 曹谢东梁鹏杨力李杰秦勇张伟伟胡启超
Owner SOUTHWEST PETROLEUM UNIV
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