A power industrial control attack classification method and system based on machine learning

A machine learning and power technology, applied in transmission systems, instruments, electrical components, etc., can solve problems such as immature research

Active Publication Date: 2019-03-08
CHINA ELECTRIC POWER RES INST +3
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the rapid improvement of power system automation, the types of attacks against power industrial control systems are becoming more and more diverse, but the current domestic research in this field is not yet mature.

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
  • A power industrial control attack classification method and system based on machine learning
  • A power industrial control attack classification method and system based on machine learning
  • A power industrial control attack classification method and system based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0113] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0114] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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 industrial control attack classification method and system based on machine learning. The method and the system are characterized by utilizing the historical message data of the electric power industrial control, after completing the default value of the data, extracting the characteristic variable, inputting the stochastic forest model for multi-fold cross-validation, and adjusting the model parameters according to whether the stochastic forest model has occurred fitting and/or under-fitting phenomenon to determine the optimal stochastic forest model to classifythe electric power industrial control attacks. Compared with that prior art, by collecting the history message data of electric power industry control for machine learning, the random forest model isbuilt, and the messages generated by the electric power industrial control system are imported into the random forest model to realize the classification of the electric power industrial control attacks, thereby improving the status quo of the passive defense of the industrial control system, enabling the system to detect and intercept the attacks before being attacked, and improving the safety performance of the electric power industrial control system.

Description

technical field [0001] The present invention relates to the field of smart grid security, and more specifically, to a machine learning-based method and system for classifying attacks in electric power industrial control. Background technique [0002] In the smart grid, the power industrial control system is an indispensable part of the power production and operation control that supports all links of power generation, transmission, transformation, distribution, utilization and dispatching, and is an important part of the country's key infrastructure. The monitoring system (including dispatching, power plants, substations, and distribution automation systems) also involves systems such as distributed power sources and power consumption information collection on the user side and in an open environment. Once damaged, it will pose a serious threat to national and social security. . With the in-depth application of information technology and the development and changes of secur...

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): G06F17/50H04L29/06
CPCH04L63/1416G06F30/20Y04S40/20
Inventor 韩丽芳朱朝阳徐文渊应欢周亮缪思薇欧阳轩邱意民余文豪冀晓宇庞铖程斌
Owner CHINA ELECTRIC POWER RES INST
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