Abstract
At present, the information technology of industrial automation control system is developing rapidly, and the system information security is facing severe challenges. Accurate and efficient risk assessment of industrial control systems is conducive to their protection and efficient production. Although there have been quite a few studies on the risk assessment of industrial control systems, there is less consideration of the interaction between the equipment in the system at present. In view of this, this paper proposes an information security risk assessment method based on the impact of neighborhood integration, which can fully consider the changes of equipment functions within the damaged range of industrial control systems. The experimental results in some model systems reveal that the algorithm in this paper can evaluate the information security risks of industrial control systems more accurately, and provides a theoretical method for the stable operation of industrial systems.
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CITATION STYLE
Wang, T., Zhao, J., & Zhang, B. (2022). Research on information security risk assessment based on integrated influence of neighborhood. In ACM International Conference Proceeding Series (pp. 220–225). Association for Computing Machinery. https://doi.org/10.1145/3573428.3573466
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