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

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

연구 분야: Strategies

학회: CMSDA '24: Proceedings of the 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis

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.