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Industrial control network abnormal behavior detection method based on a trusted model

A technology of industrial control network and detection method, applied in the direction of electrical components, transmission systems, etc.

Active Publication Date: 2019-05-17
SICHUAN UNIV
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  • Abstract
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Problems solved by technology

[0007] "A method for detecting abnormal behavior of industrial control network based on trustworthy model" is an invention proposed in the process of researching on network intrusion detection of industrial control system in view of the existing technical problems

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  • Industrial control network abnormal behavior detection method based on a trusted model
  • Industrial control network abnormal behavior detection method based on a trusted model
  • Industrial control network abnormal behavior detection method based on a trusted model

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Embodiment Construction

[0017] The detection method of the present invention can detect various network attacks against industrial control systems, including general attack behaviors and advanced attack behaviors, including denial of service attacks, command injection attacks, sequence attacks, and time sequence attacks. The present invention will be further described below in conjunction with the drawings. The present invention only provides a network attack detection method for industrial control systems. On the basis of in-depth analysis of the characteristics of industrial control network traffic, an abnormal behavior detection method based on a trusted model is established to efficiently and accurately identify damage to industrial production Cyber ​​attacks.

[0018] figure 1 Is an architecture diagram describing the method of the invention

[0019] Such as figure 1 Shown is an architecture diagram describing the method of the present invention. Each layer is a processing unit. After one layer is ...

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Abstract

The invention relates to the technical field of industrial control system network flow detection, and aims to provide an industrial control network abnormal behavior detection method based on a trusted model. According to the method, on the basis of fully analyzing the network flow of the industrial control system, a detection model is established based on a timed automaton algorithm. Through analysis, the network data packet transmitted by adopting the industrial control protocol has the characteristics that the control channel is fixed, the length of the data packet is fixed, the data packetstate machine is fixed, and the transmitted data packet conforms to a certain time rule. In the detection process, once a strange channel, a strange data packet type and a data packet which does notconform to time constraint appear, an alarm is given. The method is different from a traditional detection method based on signatures and white lists, the characteristic vector of the time dimension is introduced, and higher-level attack behaviors can be detected. The invention provides a new solution for detecting the abnormal behavior in the industrial control system.

Description

Technical field [0001] The present invention relates to the technical field of industrial control system network flow detection. The core is to use normal historical flow data to learn a credible model, especially the introduction of a credible model constrained by the time automata model, which can find more advanced industrial control network Aggressive behavior. Background technique [0002] Industrial control systems have been widely used in all aspects related to national people's livelihood (such as power systems, rail transit systems, petroleum and petrochemical systems, etc.), and the safety of industrial control can no longer be ignored. In recent years, industrial control systems have risen to the height of national security, and major industrial control companies have also begun routine inspections of their own control systems and information systems to eliminate potential safety hazards as soon as possible. The current detection methods are mainly divided into two ty...

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Application Information

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IPC IPC(8): H04L29/06
Inventor 刘嘉勇郑荣锋刘亮周安民
Owner SICHUAN UNIV
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