AN INTEGRATED APPROACH TO THE SECURITY OF ENERGY INFRASTRUCTURE: PROBLEMS AND INNOVATIVE SOLUTIONS
DOI:
https://doi.org/10.68302/std2026.vol1.170Keywords:
Artificial intelligence, Cyber-physical systems, Energy infrastructure, ResilienceAbstract
The study analyzes the security of energy infrastructure. The need for an integrated approach that overcomes the limitations of traditional security models is argued. Methodologically, a combination of system analysis, qualitative risk assessment and scenario modeling is applied. Through this approach, structural vulnerabilities are identified and threats are classified. The study establishes that the effectiveness of modern technological solutions depends on their integration with organizational and management mechanisms. An integrated security management model is proposed, aimed at increasing the resilience of energy infrastructure.
Supporting Agencies
This research was funded by the Bulgarian National Science Fund at the Ministry of Education and Science of Bulgaria under the Funding Competition for Fundamental Scientific Research Projects 2025, based on Administrative Contract № KP-06-N95/16 of 10 December 2025, for the implementation of Research Project № KP-06-PN95/45, SUNI № BG-175467353-2025-08-0248, titled „Epistemic robustness of artificial intelligence: A universal framework for evaluation in industrial and management systems“.Downloads
References
[1] Li, Q., & Song, Z., Research on Energy Security in the EU from a Trade Perspective: A Historical Analysis from 1991 to 2021. Energies, 18(14), 2025, 3801. https://doi.org/10.3390/en18143801
[2] Papamichael, I., Voukkali, I., Vrionides, K., Loizia, P., Stylianou, M., Sospiro, P., Liscio, M. C., Naddeo, V., & Zorpas, A. A., An overview of critical energy infrastructure of the European Defence sector, Energy Nexus, Volume 19, 2025, 100483, ISSN 2772-4271, https://doi.org/10.1016/j.nexus.2025.100483.
[3] Zinoviev, V., Koeva, D.; Tsankov, P., Kutkarska, R. Review of Artificial Intelligence Applications in the Digital Energy and Renewable Energy Infrastructures. Energies 2026, 19, 1250. https://doi.org/10.3390/en19051250
[4] Angelova, M., Anguelov, K., Indicators for Evaluating the Effectiveness of Algorithmic Management in Mobile Teams of Power Distribution Companies, 19th Conference on Electrical Machines, Drives and Power Systems (ELMA), Sofia, Bulgaria, 2025, pp. 1-4, doi: 10.1109/ELMA65795.2025.11083518.
[5] Cherp, A., & Jewell, J., The concept of energy security: Beyond the four As, Energy Policy, Volume 75, 2014, Pages 415-421, ISSN 0301-4215, https://doi.org/10.1016/j.enpol.2014.09.005.
[6] Sovacool, B. K., Evaluating energy security in the Asia Pacific: Towards a more comprehensive approach. Energy Policy, 39(11), 2011, Pages 7472-7479. https://doi.org/10.1016/j.enpol.2011.09.008.
[7] Panteli, M., & Mancarella, P., The grid: Stronger, bigger, smarter? Presenting a conceptual framework of power system resilience. IEEE Power and Energy Magazine, 13(3), 2015, Pages 58-66. https://doi.org/10.1109/MPE.2015.2397334
[8] Humayed, A., Lin, J., Li, F., & Luo, B., Cyber-physical systems security - A survey. IEEE Internet of Things Journal, 4(6), 2017, Pages 1802-1831. https://doi.org/10.1109/JIOT.2017.2703172
[9] Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S., Catastrophic cascade of failures in interdependent networks. Nature, 464, 2010, Pages 1025-1028. https://doi.org/10.1038/nature08932
[10] Aven, T., Risk assessment and risk management: Review of recent advances on their foundation, European Journal of Operational Research, Volume 253, Issue 1, 2016, Pages 1-13, ISSN 0377-2217, https://doi.org/10.1016/j.ejor.2015.12.023.
[11] Angelova, M., Anguelov, K., Methodology for Evaluation Effectiveness and Efficiency of Algorithmic Management in Emergency Response Teams, 19th Conference on Electrical Machines, Drives and Power Systems (ELMA), Sofia, Bulgaria, 2025, pp. 1-5, doi: 10.1109/ELMA65795.2025.11083484.
[12] Abraham, D., Houmb, S. H., & Erdodi, L., Cyber-Attacks on Energy Infrastructure - A Literature Overview and Perspectives on the Current Situation. Applied Sciences, 15(17), 9233, 2025. https://doi.org/10.3390/app15179233
[13] Stoyanov, P., Anguelov, K., Corporate Social Responsibility Reporting: Information System Requirements, 13th International Scientific Conference on Computer Science (COMSCI), Sozopol, Bulgaria, 2025, pp. 1-5, doi: 10.1109/COMSCI67172.2025.11225210.
[14] Wu, X., Zhao, S., Shen, Y., Madani, H., & Chen, Y., A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis. Energies, 13(19), 2020, 5050. https://doi.org/10.3390/en13195050
[15] D. Petrova. Intelligent, Innovative and Sustainable Industry in Bulgaria – prospects and challenges, Vide I. Tehnologija. Resursi - Environment, Technology, Resources, Proceeding of the 12th International Scientific and Practical Conference „Environment. Technology. Resources“, June 20-22, 2019, Rezekne, Latvia, Volume I, pp. 210-215, ISSN 1691-5402 – print, ISSN 2256-070X – online. https://doi.org/10.17770/etr2019vol1.4188
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Copyright (c) 2026 Kiril Luchkov, Mihail Chipriyanov, Galina Chipriyanova
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