Open Access iconOpen Access

ARTICLE

Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method

Wenshu Xu, Mingwei Lin*

College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350117, China

* Corresponding Author: Mingwei Lin. Email: email

Computers, Materials & Continua 2023, 77(1), 199-222. https://doi.org/10.32604/cmc.2023.041475

Abstract

Industrial control systems (ICSs) are widely used in various fields, and the information security problems of ICSs are increasingly serious. The existing evaluation methods fail to describe the uncertain evaluation information and group evaluation information of experts. Thus, this paper introduces the probabilistic linguistic term sets (PLTSs) to model the evaluation information of experts. Meanwhile, we propose a probabilistic linguistic multi-criteria decision-making (PL-MCDM) method to solve the information security assessment problem of ICSs. Firstly, we propose a novel subscript equivalence distance measure of PLTSs to improve the existing methods. Secondly, we use the Best Worst Method (BWM) method and Criteria Importance Through Inter-criteria Correlation (CRITIC) method to obtain the subjective weights and objective weights, which are used to derive the combined weights. Thirdly, we use the subscript equivalence distance measure method and the combined weight method to improve the probabilistic linguistic Visekriterijumska Optimizacija I Kompromisno Resenje (PL-VIKOR) method. Finally, we apply the proposed method to solve the information security assessment problem of ICSs. When comparing with the existing methods such as the probabilistic linguistic Tomada deDecisão Iterativa Multicritério (PL-TODIM) method and probabilistic linguistic Technique for Order Preference by Similarity to Ideal Solution (PL-TOPSIS) method, the case example shows that the proposed method can provide more reasonable ranking results. By evaluating and ranking the information security level of different ICSs, managers can identify problems in time and guide their work better.

Keywords


Cite This Article

APA Style
Xu, W., Lin, M. (2023). Information security evaluation of industrial control systems using probabilistic linguistic MCDM method. Computers, Materials & Continua, 77(1), 199-222. https://doi.org/10.32604/cmc.2023.041475
Vancouver Style
Xu W, Lin M. Information security evaluation of industrial control systems using probabilistic linguistic MCDM method. Comput Mater Contin. 2023;77(1):199-222 https://doi.org/10.32604/cmc.2023.041475
IEEE Style
W. Xu and M. Lin, "Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method," Comput. Mater. Contin., vol. 77, no. 1, pp. 199-222. 2023. https://doi.org/10.32604/cmc.2023.041475



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 523

    View

  • 203

    Download

  • 0

    Like

Share Link