System for predicting industrial control network vulnerabilities based on bitmap

A loophole and industrial control technology, applied in the computer field, can solve problems such as the inability to guarantee the security of the industrial control network, and achieve the effects of improving accuracy and prediction efficiency, improving accuracy and training efficiency, and fast computing speed
CN114021147AActive Publication Date: 2022-02-08山东云天安全技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
山东云天安全技术有限公司
Publication Date
2022-02-08

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Abstract

The invention relates to a system for predicting industrial control network vulnerabilities based on bitmap, and the method comprises the implementation steps: S501, determining a Summary cycle detection window TK based on a preset training cycle; step S502, taking Be as the a bit information in the TK, obtaining the detection window information TKe of the e period, and determining the feature weight we of Be based on the bit change in Be and TKe; step S503, on the basis of the feature weight we of each Be and the Summary text Stry, determining a Summary feature parameter value corresponding to each Summary text; and step S504, constructing a model input vector based on the Summary feature parameter value corresponding to the sample vulnerability id, training to obtain an industrial control network vulnerability prediction model, and predicting an industrial control network vulnerability outbreak probability based on the industrial control network vulnerability prediction model. According to the invention, 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.
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Description

technical field

[0001] The invention relates to the field of computer technology, in particular to a system for predicting loopholes in industrial control networks based on bitmaps. Background technique

[0002] With the accelerated integration of cloud computing, big data, artificial intelligence, Internet of Things and other new-generation information technologies 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 becoming more and more serious, and industrial control systems are in urgent need ...

Claims

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