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System for predicting industrial control network vulnerability based on Internet and industrial control network vulnerability parameters

An Internet and loophole technology, applied in the computer field, can solve problems such as the inability to guarantee the security of industrial control networks, and achieve the effect of improving security and stability and widely using value

Active Publication Date: 2021-12-14
山东云天安全技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, if the outbreak of industrial control network vulnerabilities cannot be predicted in time and corresponding defense measures are taken, the security of the industrial control network cannot be guaranteed.

Method used

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  • System for predicting industrial control network vulnerability based on Internet and industrial control network vulnerability parameters
  • System for predicting industrial control network vulnerability based on Internet and industrial control network vulnerability parameters
  • System for predicting industrial control network vulnerability based on Internet and industrial control network vulnerability parameters

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] The computer program stored in the storage medium includes a first computer program, and when the processor executes the first computer program, the following steps are implemented:

[0037] Step S101, obtain the training period T of the training data set 0 =LCM(TP m ), LCM is the least common multiple function.

[0038] Due to different P m and Q n The update period of t is very different. If the sliding window is directly used to select the training parameters, many parameters will not change within a certain period of time, which wastes computing resources and has little significance for model training. Therefore, this embodiment selects TP m The small common multiple of is used as the training period. It should be noted that since the update period of the characteristic parameters of Internet vulnerabilities is much longer than that of the characteristic parameters of industrial control network, only the update period of characteristic parameters of Internet vul...

Embodiment 2

[0064] It should be noted that there are many characteristic parameters of Internet vulnerabilities and are easy to obtain. However, in some application scenarios, due to various factors such as the scale of the industrial control network, it may not be possible to obtain sufficient characteristic parameters of the vulnerability of the industrial control network to train the industrial control network. Vulnerability Prediction Model. However, since the trend of the outbreak of the same vulnerability in the industrial control network is consistent with the overall trend of the Internet outbreak, there is correlation. Therefore, the outbreak probability of the industrial control network vulnerability can be calculated based on the correlation between the industrial control network and the Internet vulnerability outbreak and the characteristic parameters of the Internet vulnerability. predict.

[0065] Specifically, the computer program stored in the storage medium includes a sec...

Embodiment 3

[0094] The computer program stored in the storage medium includes a third computer program, and when the processor executes the third computer program, the following steps are implemented:

[0095] Step S300, obtain the text sequence {Str of each sample vulnerability id in the corresponding Summary from the database 1 ,Str 2 ,...},Str e It is the summary text corresponding to the e-th update period, and the value range of e is from 1 to infinity.

[0096] Step S301, when e=1, according to Str e The length of Str e The feature weight w e .

[0097] Through step S301, for each Str e Set the corresponding initial feature weights.

[0098] Step S302, when e>1, compare Str e-1 and Str e If the text information of is completely consistent, then judge z*w e-1 Whether it is greater than the preset first feature weight threshold w emin , if greater than, then set w e =z*w e-1 , where z is the preset weight adjustment coefficient, 0e-1 less than or equal to w emin , then s...

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Abstract

The invention relates to a system for predicting industrial control network vulnerabilities based on Internet and industrial control network vulnerability parameters. The implementation steps are as follows: S101, obtaining a training period T0 = LCM (TPm) of a training data set; S102, acquiring a parameter value list of Pm, a parameter value list of Qn and an industrial control network vulnerability burst probability true value corresponding to each sample vulnerability id within T0 before the current moment from a database; S103, determining a training parameter value PCm of the Pm and a training parameter value QCn of the Qn, and generating a model input vector of each sample vulnerability id based on the PCm and the QCn; S104, training according to all sample vulnerability id model input vectors and an industrial control network vulnerability burst probability true value to obtain an industrial control network vulnerability prediction model; and S105, predicting the vulnerability outbreak probability of the industrial control network based on the industrial control network vulnerability prediction model. According to the method, the vulnerability outbreak probability of the industrial control network can be quickly and accurately predicted, and the safety of the industrial control network is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a system for predicting the loopholes of the industrial control network based on the Internet and the loophole parameters of the industrial control network. Background technique [0002] With the accelerated integration of new-generation information technologies such as cloud computing, big data, artificial intelligence, and the Internet of Things, and manufacturing technologies, industrial control systems have changed from closed and independent to open, from stand-alone to interconnected, and from automation to intelligence. While industrial enterprises have gained great momentum for development, a large number of security risks have also emerged, from the Stuxnet virus targeting the Iranian nuclear plant in 2010 to the Havex virus sweeping Europe in 2014, etc., targeting industrial control system networks (hereinafter referred to as industrial control networks) Attacks are b...

Claims

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Application Information

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IPC IPC(8): G06F21/57G06F40/279G06K9/62
CPCG06F21/577G06F40/279G06F18/214
Inventor 李峰高长忠杨振勇杜兆福王绍密魏亮李杰
Owner 山东云天安全技术有限公司
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