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...
Main Authors: | , , , |
---|---|
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 |
_version_ | 1797447738100547584 |
---|---|
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. |
first_indexed | 2024-03-09T14:00:16Z |
format | Article |
id | doaj.art-bcccb7381f034081a1d57a36c71c7351 |
institution | Directory Open Access Journal |
issn | 0258-7998 |
language | zho |
last_indexed | 2024-03-09T14:00:16Z |
publishDate | 2023-01-01 |
publisher | National Computer System Engineering Research Institute of China |
record_format | Article |
series | Dianzi Jishu Yingyong |
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 |