Research on network attack prediction technology of industrial control system

In the face of complex forms of network security, attackers often use a large number of information investigation, vulnerability utilization and confusion technologies to carry out malicious activities or destruction in the network. Although the current network security situational awareness platfor...

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Main Authors: Ding Zhaohui, Zhang Wei, Yang Guoyu, Liu Teng
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2023-01-01
Series:Dianzi Jishu Yingyong
Subjects:
Online Access:http://www.chinaaet.com/article/3000157985
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author Ding Zhaohui
Zhang Wei
Yang Guoyu
Liu Teng
author_facet Ding Zhaohui
Zhang Wei
Yang Guoyu
Liu Teng
author_sort Ding Zhaohui
collection DOAJ
description In the face of complex forms of network security, attackers often use a large number of information investigation, vulnerability utilization and confusion technologies to carry out malicious activities or destruction in the network. Although the current network security situational awareness platform finds and monitors the utilization process of new vulnerabilities as much as possible, the accuracy of attack prediction are not satisfactory. It is necessary to study more advanced algorithms based on the current prediction technology to automatically associate security events with the corresponding assets and attack types, carry out early warning and risk assessment for possible network security attacks to achieve accurate prediction of network security events.
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spelling doaj.art-bcccb7381f034081a1d57a36c71c73512023-11-30T09:14:31ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982023-01-01491869010.16157/j.issn.0258-79982.2226983000157985Research on network attack prediction technology of industrial control systemDing Zhaohui0Zhang Wei1Yang Guoyu2Liu Teng3China Datang Group Science and Technology Research Institute Co., Ltd., Beijing 100043, ChinaChina Datang Group Science and Technology Research Institute Co., Ltd., Beijing 100043, ChinaChina Datang Group Science and Technology Research Institute Co., Ltd., Beijing 100043, ChinaChina Datang Group Science and Technology Research Institute Co., Ltd., Beijing 100043, ChinaIn the face of complex forms of network security, attackers often use a large number of information investigation, vulnerability utilization and confusion technologies to carry out malicious activities or destruction in the network. Although the current network security situational awareness platform finds and monitors the utilization process of new vulnerabilities as much as possible, the accuracy of attack prediction are not satisfactory. It is necessary to study more advanced algorithms based on the current prediction technology to automatically associate security events with the corresponding assets and attack types, carry out early warning and risk assessment for possible network security attacks to achieve accurate prediction of network security events.http://www.chinaaet.com/article/3000157985 industrial control systemnetwork attack predictionneural network
spellingShingle Ding Zhaohui
Zhang Wei
Yang Guoyu
Liu Teng
Research on network attack prediction technology of industrial control system
Dianzi Jishu Yingyong
industrial control system
network attack prediction
neural network
title Research on network attack prediction technology of industrial control system
title_full Research on network attack prediction technology of industrial control system
title_fullStr Research on network attack prediction technology of industrial control system
title_full_unstemmed Research on network attack prediction technology of industrial control system
title_short Research on network attack prediction technology of industrial control system
title_sort research on network attack prediction technology of industrial control system
topic industrial control system
network attack prediction
neural network
url http://www.chinaaet.com/article/3000157985
work_keys_str_mv AT dingzhaohui researchonnetworkattackpredictiontechnologyofindustrialcontrolsystem
AT zhangwei researchonnetworkattackpredictiontechnologyofindustrialcontrolsystem
AT yangguoyu researchonnetworkattackpredictiontechnologyofindustrialcontrolsystem
AT liuteng researchonnetworkattackpredictiontechnologyofindustrialcontrolsystem