QUANTITATIVE CATEGORIZATION OF FACILITIES AND MODELING OF POTENTIAL ADVERSARIES

QUANTITATIVE CATEGORIZATION OF FACILITIES AND MODELING OF POTENTIAL ADVERSARIES

Authors

DOI:

https://doi.org/10.36074/grail-of-science.26.12.2025.049

Keywords:

special-purpose facilities, physical protection system, facility categorization, adversary model, cluster analysis, discriminant analysis

Summary

In the contemporary security environment, ensuring the physical protection of special-purpose facilities cannot be limited solely to approaches based on normative requirements. The functional purpose, structural complexity, and operational regime of facilities lead to their exposure to threats of varying levels. This article proposes a methodology for the categorization of special-purpose facilities based on multidimensional statistical methods and for the identification of potential adversary models corresponding to the obtained categories. The methodology is based on k-means cluster analysis and discriminant analysis. The research results demonstrate that the proposed approach enables an objective security-oriented classification of facilities and a well-founded selection of adversary models.

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Author Biography

Elshan Hashimov, Azerbaijan Technical University, Republic of Azerbaijan National Defense University of Azerbaijan, Republic of Azerbaijan

ScD in National Security and Military Sciences

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Published

30.12.2025

Number of views 80

How to Cite

Akhundov, R., & Hashimov, E. (2025). QUANTITATIVE CATEGORIZATION OF FACILITIES AND MODELING OF POTENTIAL ADVERSARIES. Grail of Science, (60), 469–482. https://doi.org/10.36074/grail-of-science.26.12.2025.049

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Section

Military sciences, National security and Security of the State Border

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