Research on Monitoring and Vulnerability Identification Methods for Industrial Enterprise Network Assets

With the rapid development of digital transformation in manufacturing, industrial interconnection and integration sharing have promoted the networking and automation of industrial control systems to achieve a leap in both quality and quantity of industrial production. On the other hand, they have also broken the originally isolated industrial production network environment, creating new channels for threat propagation. Equipment systems and data assets are important resources for enterprises. Asset monitoring and vulnerability identification serve as pivotal technical methods for clarifying enterprise assets, identifying potential threats, and mitigating security risks. These methods facilitate the timely detection of high-risk vulnerable assets, thereby reducing the likelihood of risk events. This article explores research on network asset monitoring and vulnerability identification technology for industrial enterprises, proposes methods for asset information identification, vulnerability determination, and a hazard level assessment model. This aims to enhance the visibility and controllability of enterprise security situations, thereby contributing to the improvement of network security protection in the industrial field and supporting the advancement of new industrialization.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3727993.3728153
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Monitoring and Vulnerability Identification Methods for Industrial Enterprise Network Assets

Zhanhui Gang, Jiaxun Fan, Xian Guo, Keyu Chen
Network Security and Intrusion Detection
article

Research on Monitoring and Vulnerability Identification Methods for Industrial Enterprise Network Assets

Zhanhui Gang, Jiaxun Fan, Xian Guo, Keyu Chen
article en

Abstract

With the rapid development of digital transformation in manufacturing, industrial interconnection and integration sharing have promoted the networking and automation of industrial control systems to achieve a leap in both quality and quantity of industrial production. On the other hand, they have also broken the originally isolated industrial production network environment, creating new channels for threat propagation. Equipment systems and data assets are important resources for enterprises. Asset monitoring and vulnerability identification serve as pivotal technical methods for clarifying enterprise assets, identifying potential threats, and mitigating security risks. These methods facilitate the timely detection of high-risk vulnerable assets, thereby reducing the likelihood of risk events. This article explores research on network asset monitoring and vulnerability identification technology for industrial enterprises, proposes methods for asset information identification, vulnerability determination, and a hazard level assessment model. This aims to enhance the visibility and controllability of enterprise security situations, thereby contributing to the improvement of network security protection in the industrial field and supporting the advancement of new industrialization.

National Earthquake Response Support Service (CN), China Industrial Control Systems Cyber Emergency Response Team
Openalex Percentile: Top 64%
Network Security and Intrusion Detection
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