このアイテムの引用には次の識別子を使用してください: http://elartu.tntu.edu.ua/handle/lib/54144

Tittel: A fuzzy framework for assessing the level of cognitive and operational readiness of regional citizens to ensure their own digital security
Authors: Polishchuk, Volodymyr
Sehlianyk, Vasyl
Affiliation: Technical University of Kosice, Slovakia
Uzhhorod National University, Ukraine
Bibliographic description (Ukraine): Polishchuk V. A fuzzy framework for assessing the level of cognitive and operational readiness of regional citizens to ensure their own digital security / Volodymyr Polishchuk, Vasyl Sehlianyk // Scientific Journal of TNTU. — Tern. : TNTU, 2026. — Vol 121. — No 1. — P. 107–118.
Bibliographic reference (2015): Polishchuk V., Sehlianyk V. A fuzzy framework for assessing the level of cognitive and operational readiness of regional citizens to ensure their own digital security // Scientific Journal of TNTU, Ternopil. 2026. Vol 121. No 1. P. 107–118.
Bibliographic citation (APA): Polishchuk, V., & Sehlianyk, V. (2026). A fuzzy framework for assessing the level of cognitive and operational readiness of regional citizens to ensure their own digital security. Scientific Journal of the Ternopil National Technical University;, 121(1), 107-118. TNTU..
Bibliographic citation (CHICAGO): Polishchuk V., Sehlianyk V. (2026) A fuzzy framework for assessing the level of cognitive and operational readiness of regional citizens to ensure their own digital security. Scientific Journal of the Ternopil National Technical University; (Tern.), vol. 121, no 1, pp. 107-118.
Is part of: Вісник Тернопільського національного технічного університету, 1 (121), 2026
Scientific Journal of the Ternopil National Technical University;, 1 (121), 2026
Journal/Collection: Вісник Тернопільського національного технічного університету
Issue: 1
Volume: 121
Utgivelsesdato: 24-mar-2026
Submitted date: 8-nov-2025
Date of entry: 13-okt-2026
Forlag: ТНТУ
TNTU
Place of the edition/event: Тернопіль
Ternopil
DOI: https://doi.org/10.33108/visnyk_tntu2026.01.107
Emneord: information security of citizens
cognitive awareness
applied cyberliteracy
cybersecurity
fuzzy modeling
decision support
fuzzy sets
Number of pages: 12
Page range: 107-118
Start page: 107
End page: 118
Abstrakt: Citizens’ growing involvement in the digital environment increases exposure to cyber risks caused by the human factor. However, existing assessment approaches mainly focus on technical cybersecurity capacity or general digital literacy and do not comprehensively capture both cognitive awareness and the ability to make correct decisions in typical cyber situations. The purpose of the study is to develop and verify a fuzzy framework for assessing the level of cognitive and operational readiness of citizens of a region to ensure their own digital security. The information base was formed using a questionnaire survey of citizens and two information methods: self-assessment of cognitive cybersecurity awareness on a ten-point scale and assessment of applied cyberliteracy through single-answer test questions. An integral assessment was obtained using a fuzzy model with multidimensional membership functions and a fuzzy rule base. The proposed framework was tested on real data from 315 respondents in the Transcarpathian region collected during March–June 2025. The resulting integral indicator of cognitive and operational readiness was 0.67, which corresponds to a stable average level of population readiness to ensure personal digital security. The proposed framework provides a comprehensive, reproducible, and scalable assessment of citizens’ readiness for digital security and can be used to identify high- risk groups and support educational, preventive, and managerial decision-making at regional and national levels.
URI: http://elartu.tntu.edu.ua/handle/lib/54144
ISSN: 2522-4433
Copyright owner: © Ternopil Ivan Puluj National Technical University, 2026
URL for reference material: https://doi.org/10.1016/j.cose.2024.104204
https://doi.org/10.1016/j.cose.2024.103741
https://doi.org/10.1016/j.cose.2024.104208
https://doi.org/10.1016/j.procs.2024.04.156
https://doi.org/10.1016/j.eswa.2025.127268
https://doi.org/10.1016/j.ocecoaman.2025.107857
https://doi.org/10.3390/su17198757
https://doi.org/10.3390/systems13010052
https://doi.org/10.1016/j.techsoc.2025.103206
https://doi.org/10.1016/j.acalib.2024.102937
https://doi.org/10.1016/j.cose.2023.103266
https://doi.org/10.3390/info14110586
https://doi.org/10.1016/j.ijcip.2024.100722
https://doi.org/10.1016/j.cose.2023.103585
https://doi.org/10.1016/j.chbr.2025.100668
https://doi.org/10.1049/smc2.70014
https://doi.org/10.3390/electronics14244894
https://doi.org/10.3390/safety10020041
https://doi.org/10.3390/info16060430
https://doi.org/10.3390/su14031133
https://doi.org/10.3390/data8100156
https://doi.org/10.3390/sym17010070
https://doi.org/10.3390/math12040582
https://doi.org/10.3390/electronics14173475
https://doi.org/10.1049/smc2.70000
https://doi.org/10.1002/rhc3.70005
https://doi.org/10.28925/2663-4023.2025.30.953
https://doi.org/10.28925/2663-4023.2024.26.731
https://doi.org/10.1038/s41598-025-24204-3
https://doi.org/10.3934/geosci.2024020
https://doi.org/10.5281/zenodo.19692560
References (International): 1. U. Kiran, N.F. Khan, H. Murtaza, A. Farooq, H. Pirkkalainen, Explanatory and predictive modeling of cybersecurity behaviors using protection motivation theory, Computers & Security. 149 (2025) 104204. https://doi.org/10.1016/j.cose.2024.104204.
2. D. Baltuttis, T. Teubner, M.T.P. Adam, A typology of cybersecurity behavior among knowledge workers, Computers & Security. 140 (2024) 103741. https://doi.org/10.1016/j.cose.2024.103741.
3. R.C. Chanda, A. Vafaei-Zadeh, H. Hanifah, D. Nikbin, Assessing cybersecurity awareness among bank employees: A multi-stage analytical approach using PLS-SEM, ANN, and fsQCA in a developing country context, Computers & Security. 125 (2025) 104208. https://doi.org/10.1016/j.cose.2024.104208.
4.Procedia Computer Science. 235 (2024) 1649–1663. https://doi.org/10.1016/j.procs.2024.04.156.
5. M. Güler, G. Büyüközkan, Cybersecurity maturity assessment using an incomplete hesitant fuzzy AHP method and Bonferroni means operator, Expert Systems with Applications. 282 (2025) 127268. https://doi.org/10.1016/j.eswa.2025.127268.
6. O. Soner, Modeling and analyzing cybersecurity risk propagation in ports using fuzzy cognitive maps: System sensitivity to key threat factors, Ocean & Coastal Management. 270 (2025) 107857. https://doi.org/10.1016/j.ocecoaman.2025.107857.
7. O. Korchenko, O. Korystin, V. Shulha, S. Kazmirchuk, S. Demediuk, S. Zybin, Sustainable development of smart regions via cybersecurity of national infrastructure: A fuzzy risk assessment approach, Sustainability. 17(19) (2025) 8757. https://doi.org/10.3390/su17198757.
8. A. Brezavšček, A. Baggia, Recent trends in information and cyber security maturity assessment: A systematic literature review, Systems. 13(1) (2025) 52. https://doi.org/10.3390/systems13010052.
9. Y. Hong, M.M. Shafiee, M. Warkentin, The role of life satisfaction in cybersecurity awareness: A broaden-and-build perspective, Technology in Society. 85 (2025) 103206. https://doi.org/10.1016/j.techsoc.2025.103206.
10. A. Kavak, Impact of information security awareness on information security compliance of academic library staff in Türkiye, The Journal of Academic Librarianship. 50(5) (2024) 102937. https://doi.org/10.1016/j.acalib.2024.102937.
11. ] J. K. Nwankpa, P. M. Datta, Remote vigilance: The roles of cyber awareness and cybersecurity policies among remote workers, Computers & Security. 130 (2023) 103266. https://doi.org/10.1016/j.cose.2023.103266.
12. M. Domínguez-Dorado, F.J. Rodríguez-Pérez, J. Carmona-Murillo, D. Cortés-Polo, J. Calle- Cancho, Boosting holistic cybersecurity awareness with outsourced wide-scope CyberSOC: A generalization from a Spanish public organization study, Information. 14(11) (2023) 586. https://doi.org/10.3390/info14110586.
13. S. Lyeonov, W. Strielkowski, V. Koibichuk, S. Drozd, Impact of internet and mobile communication on cyber resilience: A multivariate adaptive regression spline modeling approach, International Journal of Critical Infrastructure Protection. 47 (2024) 100722. https://doi.org/10.1016/j.ijcip.2024.100722.
14. J. Prümmer, T. van Steen, B. van den Berg, A systematic review of current cybersecurity training methods, Computers & Security. 136 (2024) 103585. https://doi.org/10.1016/j.cose.2023.103585.
15. A. Mulahuwaish, B. Qolomany, K. Gyorick, J.B. Abdo, M. Aledhari, J. Qadir, K. Carley, A survey of social cybersecurity: Techniques for attack detection, evaluations, challenges, and prospects, Computers in Human Behavior Reports. (2025) 100668. https://doi.org/10.1016/j.chbr.2025.100668.
16. M. Houichi, F. Jaidi, A. Bouhoula, Enhancing smart city security: An intrusion detection system using machine learning methods with the UNB CIC IoT 2023 dataset, IET Smart Cities. (2025) e70014. https://doi.org/10.1049/smc2.70014.
17. W.J. Obidallah et al., A unified computational model for assessing security risks in Internet of Transportation Things-based healthcare applications, Electronics. 14(24) (2025) 4894. https://doi.org/10.3390/electronics14244894.
18. F. Merola, C. Bernardeschi, G. Lami, A risk assessment framework based on fuzzy logic for automotive systems, Safety. 10(2) (2024) 41. https://doi.org/10.3390/safety10020041.
19. R. Acheampong, D.-M. Popovici, T.C. Balan, A. Rekeraho, I.-A. Oprea, A cybersecurity risk assessment for enhanced security in virtual reality, Information. 16(6) (2025) 430. https://doi.org/10.3390/info16060430.
20. N.A. Chandra, A.A.P. Ratna, K. Ramli, Development and simulation of cyberdisaster situation awareness models, Sustainability. 14(3) (2022) 1133. https://doi.org/10.3390/su14031133.
21. Aktayeva, Y. Makatov, A.K. Tulegenovna, A. Dautov, R. Niyazova, M. Zhamankarin, S. Khan, Cybersecurity risk assessments within critical infrastructure social networks, Data. 8(10) (2023) 156. https://doi.org/10.3390/data8100156.
22. M.Z. Hanif, N. Yaqoob, Prioritized decision support system for cybersecurity selection based on extended symmetrical linear Diophantine fuzzy Hamacher aggregation operators, Symmetry. 17(1) (2025) 70. https://doi.org/10.3390/sym17010070.
23. Z. Ali, M.-S. Yang, Improving risk assessment model for cyber security using robust aggregation operators for bipolar complex fuzzy soft inference systems, Mathematics. 12(4) (2024) 582. https://doi.org/10.3390/math12040582.
24. E. Krzysztoń, D. Mikołajewski, P. Prokopowicz, Review of fuzzy methods application in IIoT security-Challenges and perspectives, Electronics. 14(17) (2025) 3475. https://doi.org/10.3390/electronics14173475.
25. F.J. Gallardo-Amores, C. Del-Real, A.M. Díaz-Fernández, Assessing urban security and safety smartness: A systematic review of key performance indicators, IET Smart Cities. (2025) e70000. https://doi.org/10.1049/smc2.70000.
26. J. Lund-Tønnesen, K. Fossheim, Excessive digital surveillance and data privacy invasion as a creeping crisis, Risk, Hazards & Crisis in Public Policy. 16 (2025) e70005. https://doi.org/10.1002/rhc3.70005.
27. V. Grechaninov, Method of strategic planning of cybersecurity measures based on the SWOT concept, Cybersecurity: Education, Science, Technique. 2(30) (2025) 66–88. https://doi.org/10.28925/2663-4023.2025.30.953.
28. D. Palko, L. Myrutenko, Method of comprehensive cybersecurity risks assessment in distributed information systems, Cybersecurity: Education, Science, Technique. 2(26) (2024) 487–502. https://doi.org/10.28925/2663-4023.2024.26.731.
29. X. Wang, Z. Zhou, Security situation awareness algorithm of network information transmission based on big data, Scientific Reports. 15 (2025) 39058. https://doi.org/10.1038/s41598-025-24204-3.
30. H.D. Mohammadian, O. Alijani, M.R. Moghadam et al., Navigating the future by fuzzy AHP method: Enhancing global tech-sustainable governance, digital resilience, and cybersecurity via the SME 5.0, 7PS framework and the X.0 wave/age theory in the digital age, AIMS Geosciences. 10(2) (2024) 371–398. https://doi.org/10.3934/geosci.2024020.
31. Polishchuk V., Sehlianyk V. Data from 315 respondents to assess the level of cognitive and operational readiness of citizens of the region to ensure their own digital security (Ukraine) [Data set]. Zenodo, 2026. Available at: https://doi.org/10.5281/zenodo.19692560.
Content type: Article
Vises i samlingene:Вісник ТНТУ, 2026, № 1 (121)



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