Proceedings of International Conference on Applied Innovation in IT
2025/04/26, Volume 13, Issue 1, pp.231-241

The Relationship Between Artificial Intelligence and Critical Infrastructure Development: Bibliometric Analysis


Nataliia Trushkina


Abstract: Currently, the priority direction of the national economy in the world’s countries is the formation of an appropriate system of protection and security of critical infrastructure, which is able to quickly respond to exogenous and endogenous threats and risks and flexibly adapt to new operating conditions using digital technologies and information systems. At the same time, in the last decade, the role of artificial intelligence as a powerful tool in the management system for the development of critical infrastructure will grow. Therefore, the purpose of this article is to identify the relationship between artificial intelligence and the development of critical infrastructure by characterizing the evolution of key patterns of scientific publications on this problem. To achieve this goal, a relevant sample of scientific articles was formed based on identifying periods of publication activity and bibliometric analysis of keyword matches to identify promising areas of research in this area. The formed sample of publications for the study includes 606 documents indexed by the international scientometric database Scopus for the period 2011-2025. Bibliometric analysis and visualization of its results were carried out using the VOSviewer software product. Based on the visualization maps, seven clusters were identified and characterized by the content coincidence of keywords in the publications and five stages of the evolutionary development of artificial intelligence technologies for the effective functioning of critical infrastructure. Based on the analysis of empirical data, the exponential growth of the number of publications on the selected issues was confirmed (the annual growth rate of the number of scientific papers on this topic is 23.5% for 2011-2024). The results of the analysis can be used in further research to substantiate and develop an algorithm of actions for rapid response to crisis phenomena and adaptation of the functioning of critical infrastructure facilities to new global challenges.

Keywords: Critical Infrastructure, Critical Infrastructure Development, Artificial Intelligence, Cyber Threat, Cybersecurity, Information Security, Digital Space, Strategic Management, Risk Management, Digital Transformation. Information System, Information Technology, Bibliometric Analysis.

DOI: Under Indexing

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References:

  1. A. Kwilinski, “The relationship between sustainable development and digital transformation: Bibliometric analysis,” Virtual Econ., vol. 6, no. 3, pp. 56–69, 2023, [Online]. Available: https://doi.org/10.34021/ve.2023.06.03(4).
  2. D. Pudryk et al., “Towards achieving sustainable development: Interactions between migration and education,” Forum Sci. Oecon., vol. 11, pp. 113–132, 2023, [Online]. Available: https://doi.org/10.23762/FSO_VOL11_NO1_6.
  3. V. Khaustova, M. Kyzym et al., “Digital transformation of energy infrastructure in the conditions of global changes: Bibliometric analysis,” in Proc. 12th Int. Conf. Appl. Innov. IT (ICAIIT), Koethen, Germany, Mar. 7, 2024, vol. 12, no. 1, pp. 135–142, [Online]. Available: http://dx.doi.org/10.25673/115664.
  4. Artificial intelligence (AI) market size worldwide from 2020 to 2030 (in billion U.S. dollars), Statista, Nov. 28, 2024, [Online]. Available: https://www.statista.com/forecasts/1474143/global-ai-market-size.
  5. AI Statistics 2024, AIPRM, [Online]. Available: https://www.aiprm.com/ai-statistics/.
  6. 2025 AI Business Predictions, PwC, 2025, [Online]. Available: https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html.
  7. S. Ghimire, “The role of AI in infrastructure development of developed nations,” Frost & Sullivan Institute, Jan. 22, 2025, [Online]. Available: https://frostandsullivaninstitute.org/the-role-of-ai-in-infrastructure-development-of-developed-nations/.
  8. K. Crichton et al., Securing Critical Infrastructure in the Age of AI. Workshop Report, Center for Security and Emerging Technology, Oct. 2024, [Online]. Available: https://cset.georgetown.edu/wp-content/uploads/CSET-Securing-Critical-Infrastructure-in-the-Age-of-AI.pdf.
  9. A. Kwilinski and N. Trushkina, “Impact of cyber risks and threats on the critical infrastructure development: Visualization of scientific research,” in Proc. 12th Int. Conf. Appl. Innov. IT (ICAIIT), vol. 12, no. 2, pp. 107–119, 2024, [Online]. Available: http://dx.doi.org/10.25673/118123.
  10. D. M. Gerstein and E. N. Leidy, Emerging Technology and Risk Analysis Artificial Intelligence and Critical Infrastructure, Homeland Security Operational Analysis Center, 2024, [Online]. Available: https://www.rand.org/content/dam/rand/pubs/research_reports/RRA2800/RRA2873-1/RAND_RRA2873-1.pdf.
  11. M. Hill, “NATO tests AI’s ability to protect critical infrastructure against cyberattacks,” CSO, Jan. 5, 2023, [Online]. Available: https://www.csoonline.com/article/574281/nato-tests-ai-s-ability-to-protect-critical-infrastructure-against-cyberattacks.html.
  12. C. Baudrit et al., “Artificial intelligence and non-destructive testing data to assess concrete sustainability of civil engineering infrastructures,” Materials, vol. 18, no. 4, p. 826, 2025, [Online]. Available: https://doi.org/10.3390/ma18040826.
  13. S. Bruno, M. De Fino, and F. Fatiguso, “Historic Building Information Modelling: Performance assessment for diagnosis-aided information modelling and management,” Autom. Constr., vol. 86, pp. 256–276, 2018, [Online]. Available: https://doi.org/10.1016/j.autcon.2017.11.009.
  14. D. Buhalis et al., “Technological disruptions in services: Lessons from tourism and hospitality,” J. Serv. Manag., vol. 30, no. 4, pp. 484–506, 2019, [Online]. Available: https://doi.org/10.1108/JOSM-12-2018-0398.
  15. C. Cath, “Governing artificial intelligence: Ethical, legal and technical opportunities and challenges,” Philos. Trans. A Math. Phys. Eng. Sci., vol. 376, no. 2133, p. 20180080, 2018, [Online]. Available: https://doi.org/10.1098/rsta.2018.0080.
  16. K. Dick et al., “Deep learning for critical infrastructure resilience,” J. Infrastruct. Syst., vol. 25, no. 2, p. 05019003, 2019, [Online]. Available: https://doi.org/10.1061/(ASCE)IS.1943-555X.0000477.
  17. R. Doshi, N. Apthorpe, and N. Feamster, “Machine learning DDoS detection for consumer internet of things devices,” in Proc. 2018 IEEE Symp. Secur. Priv. Workshops, pp. 29–35, 2018, [Online]. Available: https://doi.org/10.1109/SPW.2018.00013.
  18. S. Feng et al., “Dense reinforcement learning for safety validation of autonomous vehicles,” Nature, vol. 615, no. 7953, pp. 620–627, 2023, [Online]. Available: https://doi.org/10.1038/s41586-023-05732-2.
  19. F. Filgueiras, “Artificial intelligence governance challenges in Latin America: Infrastructure, decolonization and new dependency,” Reforma y Democracia, no. 87, pp. 44–70, 2023, [Online]. Available: https://doi.org/10.69733/clad.ryd.n87.a3.
  20. F. Santoso and A. Finn, “An in-depth examination of artificial intelligence-enhanced cybersecurity in robotics, autonomous systems, and critical infrastructures,” IEEE Trans. Serv. Comput., vol. 17, no. 3, pp. 1293–1311, 2024, [Online]. Available: https://doi.org/10.1109/TSC.2023.3331083.
  21. A. C. Serban and M. D. Lytras, “Artificial intelligence for smart renewable energy sector in Europe – Smart energy infrastructures for next generation smart cities,” IEEE Access, vol. 8, pp. 77364–77377, 2020, [Online]. Available: https://doi.org/10.1109/ACCESS.2020.2990123.
  22. F. van der Vlist, A. Helmond, and F. Ferrari, “Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence,” Big Data Soc., vol. 11, no. 1, 2024, [Online]. Available: https://doi.org/10.1177/20539517241232630.
  23. H. J. Goldsby, B. H. C. Cheng, and J. Zhang, “AMOEBA-RT: Run-time verification of adaptive software,” Lect. Notes Comput. Sci., vol. 5002, pp. 212–224, 2008, [Online]. Available: https://doi.org/10.1007/978-3-540-69073-3_23.


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