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

Intrusion detection method, device, equipment and storage medium for industrial control system

An industrial control system, intrusion detection technology, applied in transmission systems, neural learning methods, biological neural network models, etc., can solve problems such as poor classification accuracy, and achieve the effect of solving poor classification accuracy and accurate performance

Active Publication Date: 2022-05-17
HUIZHOU ENERGY STORAGE POWER GENERATION CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide an industrial control system intrusion detection method based on convolutional neural network and an industrial control system intrusion detection method based on convolutional neural network in view of the technical problem of poor classification accuracy in the traditional technology industrial control system intrusion detection method. Detection device, computer equipment and computer readable storage medium

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
  • Intrusion detection method, device, equipment and storage medium for industrial control system
  • Intrusion detection method, device, equipment and storage medium for industrial control system
  • Intrusion detection method, device, equipment and storage medium for industrial control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0027] In one embodiment, a convolutional neural network-based intrusion detection method for industrial control systems is provided, referring to figure 1 , figure 1 It is a schematic flow chart of an intrusion detection method for an industrial control system based on a convolutional neural network in an embodiment. The intrusion detection method for an industrial control system based on a convolutional neural network may include the following steps:

[0028] Step S101, extracting the original data set of the industrial control system from the network data set of the co...

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 application relates to a convolutional neural network-based industrial control system intrusion detection method, device, computer equipment, and computer-readable storage medium. The method includes the steps of: extracting the industrial control system from the network data set of the communication protocol of the industrial control system The original data set; according to the preset ratio, the original data set is divided into training data set and test data set; the training data set is trained by the convolutional neural network classification model to obtain the optimal classification model; the test data set is input into the above-mentioned optimal classification model. The optimal classification model is used for classification processing to obtain the intrusion detection results of the industrial control system. This scheme designs a classification model with excellent performance through convolutional neural network, which can not only process massive data faster, but also perform multi-classification, and the performance of classification is more accurate, thus solving the problem of traditional technology industrial control system. The technical problem of poor classification accuracy of intrusion detection methods.

Description

technical field [0001] The present application relates to the technical field of industrial control, in particular to a convolutional neural network-based industrial control system intrusion detection method, a convolutional neural network-based industrial control system intrusion detection device, computer equipment, and a computer-readable storage medium. Background technique [0002] Industrial control systems pervade electric power, chemical, petroleum and other industries, and with the integration of informatization and industrialization, the communication network inside the industrial control system is gradually interconnected with the Internet. In this way, the original closedness of the industrial control system is broken, and it is vulnerable to more attacks. An intrusion detection system can detect external attacks before they cause harm to the system and issue an alarm. The intrusion detection technology in the traditional IT network is relatively mature, but the...

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): H04L47/32G06N3/04G06N3/08
CPCH04L63/1416G06N3/084G06N3/045
Inventor 林晔篁彭纬伟刘蕾蕾王雷杜伟陈旭腾崔钰陈云云陈晓锋王思杰
Owner HUIZHOU ENERGY STORAGE POWER GENERATION CO LTD
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