Industrial control system protection method and industrial control system protection device

A technology for industrial control systems and protection devices, applied in transmission systems, digital transmission systems, instruments, etc., can solve the problems of vulnerability to network attacks, poor ability of industrial control systems to defend against malicious attacks, etc., to improve robustness and defense capabilities Effect

Active Publication Date: 2019-04-12
北京鼎力互联技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an industrial control system protection method and an industrial control system protection device to solve the problem that the industrial control system has poor defense against malicious attacks and is vulnerable to network attacks in view of the above-mentioned deficiencies in the prior art

Method used

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  • Industrial control system protection method and industrial control system protection device
  • Industrial control system protection method and industrial control system protection device
  • Industrial control system protection method and industrial control system protection device

Examples

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no. 1 example

[0031] figure 1 It is a schematic flow chart of the industrial control system protection method provided by the embodiment of the present application. The method can be executed by devices such as computers or servers, but is not specifically limited. Such as figure 1 As shown, the industrial control system protection method includes:

[0032] S101. Obtain an adversarial example obtained through training of an adversarial example generation model.

[0033] Optionally, in this embodiment, a deep learning model combining unsupervised and supervised is designed by introducing a temporally coded generative confrontation network and a long-short-term memory unit. Through this deep learning model, the sensory information network in the input model (Sense Information Network, referred to as SIN) training to generate adversarial samples. The deep learning model has good results in both sample generation and classification.

[0034] S102. Perform preprocessing on the adversarial sa...

no. 2 example

[0098] Figure 8 A schematic diagram of the structure of the industrial control system protection device provided for an embodiment of the application, such as Figure 8 As shown, the industrial control system protection device includes: a calculation module 801 , a preprocessing module 802 and a determination module 803 .

[0099] Calculation module 801, configured to obtain the adversarial examples trained by the adversarial example generation model.

[0100] The preprocessing module 802 is configured to preprocess the adversarial samples and normal samples using a mixed encoding method.

[0101] The determination module 803 is used to import various combinations of preprocessed confrontational samples and normal samples into the industrial control system, and is used to perform confrontational training on the control parameters in the industrial control system, so that the industrial control system has the ability to resist false information.

[0102] Further, the calcula...

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Abstract

The invention provides an industrial control system protection method and an industrial control system protection device, and relates to the technical field of safety protection for an industrial control system. The industrial control system protection method comprises the steps of obtaining adversarial samples trained by an adversarial sample generation model; preprocessing the adversarial samples and normal samples by adopting a hybrid coding mode; importing various combinations of the preprocessed adversarial samples and normal samples into the industrial control system to carry out adversarial training on the industrial control system so as to enable the industrial control system to have a false information defense ability. Through setting up the adversarial sample generation model andtraining model parameters, control parameters in the industrial control system in an input model are trained by using the trained adversarial sample generation model to obtain the adversarial samples, and the adversarial samples are imported into the industrial control system for adversarial training so as to improve the defense ability of the industrial control system.

Description

technical field [0001] The invention relates to the technical field of safety protection of industrial control systems, in particular, to an industrial control system protection method and an industrial control system protection device. Background technique [0002] Industrial Control Systems (ICS) are used to supervise and control many industrial systems and processes. Common ICS are used in critical infrastructure such as chemical plants, power generation and transmission and distribution systems, water distribution networks, and wastewater treatment facilities. ICS typically contain sensors and actuators controlled by a Programmable Logic Controller (PLC), which are themselves managed by a Human Machine Interface (HMI). [0003] In the prior art, a supervisory control and data acquisition system (Supervisory Control And Data Acquisition, SCADA), as a kind of ICS, usually includes different stations distributed in the region. Most SCADA network traffic is generated by au...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L29/06G06K9/62
CPCH04L41/145H04L63/1441G06F18/214
Inventor 潘旭华陈晋音郑海斌熊晖
Owner 北京鼎力互联技术有限公司
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