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

Industrial control system anomaly detection method and device, server and storage medium

An industrial control system and training method technology, applied in the computer field, can solve the problem of low detection accuracy of anomaly detection methods, and achieve the effects of avoiding dimension explosion, improving accuracy, high accuracy and recall

Pending Publication Date: 2020-12-18
STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST +1
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The embodiment of the present application provides an industrial control system anomaly detection method, device, smart device and storage medium to solve the technical problem of low detection accuracy of the industrial control system anomaly detection method existing in the prior art

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
  • Industrial control system anomaly detection method and device, server and storage medium
  • Industrial control system anomaly detection method and device, server and storage medium
  • Industrial control system anomaly detection method and device, server and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to solve the technical problem of high false positive rate in the multi-type attack detection system applied to the physical level existing in the prior art, in the embodiment of the present application, a stacked denoising autoencoder (Stacked DenoiseAutoEncoder, SDA) is used to The level of traffic is used for feature learning and dimensionality reduction. After expanding the dependency between features, it is input into a model that combines 1D_CNN with a residual module and GRU. After obtaining the predicted features, it calculates the statistical deviation from the actual features, and judges according to the size of the deviation value. Whether the system is abnormal. The problem of high false positive rate of the multi-type attack detection system currently applied on the physical level is solved. Among them, the false positive rate: in the set of actual observed traffic is normal traffic, the probability that the model predicts that it is abnormal. Hig...

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 computers, in particular to an industrial control system anomaly detection method and device, a server and a storage medium. The method comprises the steps of obtaining a historical traffic data set, and performing noise reduction processing on any historical traffic data in the historical traffic data set to obtain a feature vector of any historicaltraffic data; inputting the feature vector into a data traffic prediction model, and outputting a prediction feature vector of subsequent data traffic; and adjusting parameters of the data traffic prediction model according to the prediction feature vector of the subsequent data traffic and the real feature vector of the subsequent data traffic, so that the updated subsequent prediction feature vector meets a preset requirement. According to the invention, the technical problem of low detection accuracy of an industrial control system anomaly detection method in the prior art is solved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to an abnormality detection method, equipment, server, and storage medium of an industrial control system. Background technique [0002] Industrial Control System (Industrial Control System, ICS) refers to a collection of equipment, systems, networks and controllers used to operate, control, and assist automated industrial production processes, including data acquisition and monitoring systems (SCADA, Supervisory control and data acquisition) , Distributed Control System (DCS, DistributedControl System) and other systems that perform control functions. Industrial control systems are widely used in all walks of life, including energy, electric power, petroleum, transportation, chemical industry, etc. They play a vital role in national infrastructure and are related to the national economy and people's livelihood. Therefore, once it is successfully attacked, it will b...

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): G06K9/62G06K9/40G06N3/04G06N3/08
CPCG06N3/088G06V10/30G06N3/045G06F18/241
Inventor 杨浩章玲玲徐健袁晨
Owner STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
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