IJWMT Vol. 16, No. 3, 8 Jun. 2026
Cover page and Table of Contents: PDF (size: 354KB)
PDF (354KB), PP.88-97
Views: 0 Downloads: 0
Digital security literacy, cybersecurity awareness, confidence-competence gap, senior citizens, phishing and social engineering, Two-Factor Authentication, human-centric cybersecurity
The accelerating pace of digital transformation has expanded dependency on online services, exposing a widening misalignment between technology adoption and cybersecurity competence. This study investigates generational disparities in digital security literacy, perceived risk, and protective behaviors, with a particular focus on senior citizens as high-risk end users within computer network and information security ecosystems. 112 participants from various age and professional cohorts were surveyed using a four-point Likert scale with minimal central tendency response bias followed by both descriptive and mean-comparison analyses. Results demonstrate that cybersecurity literacy is medium but uneven (mean = 2.02), with respondents from the oldest age group (age sixty and above) reporting the lowest composite security score and weakest preventive practices, including a Two-Factor Authentication penetration of only 35%. There is a clear confidence-competence gap (+0.47) among senior citizens, meaning they tend to overestimate their ability to deal with digital services but underestimate the challenge of acquiring technical knowledge. Building on these findings, the paper introduces the Digital Guardian for Seniors framework a conceptual, human-centric intervention model integrating adaptive, visually oriented pedagogy, an intergenerational cyber-buddy system, and suggested metrics for longitudinal evaluation. The study contributes to computer network and information security research by providing demographic-based empirical evidence and outlining a theoretical foundation for future empirical testing and targeted interventions for an aging digital population.
Kartika Purwandari, Join W.C. Sigalingging, "The Confidence-Competence Gap in Senior Cybersecurity: An Exploratory Survey and Conceptual Framework", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.16, No.3, pp. 88-97, 2026. DOI:10.5815/ijwmt.2026.03.06
[1]B. Hammoda and S. Foli, “A Digital Competence Framework for Learners (DCFL): A Conceptual Framework for Digital Literacy,” Knowledge Management & E-Learning, vol. 16, no. 3, pp. 477–500, 2024. https://doi.org/10.34105/j.kmel.2024.16.022.
[2]T. Schaltegger, B. Ambuehl, N. Bosshart, A. Bearth, and N. Ebert, “Human Behavior in Cybersecurity: An Opportunity for Risk Research,” Journal of Risk Research, vol. 28, no. 8, pp. 843–854, 2025. https://doi.org/10.1080/13669877.2025.2539109
[3]D. Humphreys, A. Koay, D. Desmond, and E. Mealy, “AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business,” AI and Ethics, vol. 4, no. 3, pp. 791–804, 2024. https://doi.org/10.1007/s43681-024-00443-4.
[4]N. Y.-R. Douha, K. Renaud, Y. Taenaka, and Y. Kadobayashi, “Smart home cybersecurity awareness and behavioral incentives,” Information & Computer Security, vol. 31, no. 5, pp. 545–575, 2023. https://doi.org/10.1108/ICS-03-2023-0032.
[5]M. Zwilling, G. Klien, D. Lesjak, Ł. Wiechetek, F. Cetin, and H. N. Basim, “Cyber security awareness, knowledge and behavior: A comparative study,” Journal of Computer Information Systems, vol. 62, no. 1, pp. 82–97, 2022. https://doi.org/10.1080/08874417.2020.1712269.
[6]A. R. Pradipta and R. G. Utomo, “Enhancement of the Human Aspects of Information Security Questionnaire (HAIS-Q) for Indonesia Educational Institutions,” in 2025 3rd International Conference on Software Engineering and Information Technology (ICoSEIT), pp. 1–6, 2025. 10.1109/ICoSEIT67010.2025.11290747.
[7]P. Kathryn, D. Calic, M. Pattinson, M. Butavicius, A. McCormac, and T. Zwaans. "The human aspects of information security questionnaire (HAIS-Q): two further validation studies." Computers & Security, vol. 66, pp. 40-51, 2017. https://doi.org/10.1016/j.cose.2017.01.004.
[8]S. Masmoudi, “Unveiling the Human Factor in Cybercrime and Cybersecurity: Motivations, Behaviors, Vulnerabilities, Mitigation Strategies, and Research Methods,” in Cybercrime Unveiled: Technologies for Analysing Legal Complexity, pp. 41–91, Springer, 2025. https://doi.org/10.1007/978-3-031-80557-8_3
[9]A. Sutton and L. Tompson, “Towards a Cybersecurity Culture-Behaviour Framework: A Rapid Evidence Review,” Computers & Security, vol. 148, p. 104110, 2025. https://doi.org/10.1016/j.cose.2024.104110
[10]J. Iqbal, S. H. Soroya, and K. Mahmood, “Financial Information Security Behavior in Online Banking,” Information Development, vol. 40, no. 4, pp. 550–565, 2024. https://doi.org/10.1177/02666669221149346
[11]J. Klütsch, L. Haehn, A. Kreuder, C. Böffel, U. Frick, and S. J. Schlittmeier, “InstaTrust or InstaTrap: How Relationships and Developmental Tasks Affect Young Adults’ Phishing Susceptibility on Instagram,” International Journal of Human-Computer Studies, vol. 197, p. 103456, 2025. https://doi.org/10.1016/j.ijhcs.2025.103456
[12]A. Kavvadias and T. Kotsilieris, “Understanding the Role of Demographic and Psychological Factors in Users’ Susceptibility to Phishing Emails: A Review,” Applied Sciences, vol. 15, no. 4, p. 2236, 2025. https://doi.org/10.3390/app15042236
[13]D. Pehlivanoglu et al., “Phishing Vulnerability Compounded by Older Age, Apolipoprotein E e4 Genotype, and Lower Cognition,” PNAS Nexus, vol. 3, no. 8, p. pgae296, 2024. https://doi.org/10.1093/pnasnexus/pgae296
[14]S. Kemp and N. Erades Pérez, “Consumer Fraud Against Older Adults in Digital Society: Examining Victimization and Its Impact,” International Journal of Environmental Research and Public Health, vol. 20, no. 7, p. 5404, 2023. https://doi.org/10.3390/ijerph20075404
[15]T. Taffese, F. Chavez, A. Fernandez-Reyes, and M. Byrne, “Redesigning and Evaluating Interfaces for Two-Factor Authentication: Performance of Younger and Older Adults,” 2025. https://doi.org/10.31234/osf.io/vtx7u_v1
[16]W. K. Bong and Y. J. Li, “How Many Times Do I Need to Say, ‘It Is Me’? Investigating Two-Factor Authentication with Older Adults in Norway,” in ICT4AWE, pp. 25–34, 2025. https://doi.org/10.5220/0013206500003938
[17]B. A. Morrison, J. Nicholson, L. Coventry, and P. Briggs, “Recognising Diversity in Older Adults’ Cybersecurity Needs,” in Proceedings of the 2023 ACM Conference on Information Technology for Social Good, pp. 437–445, 2023. https://doi.org/10.1145/3582515.3609565
[18]A. Sheil et al., “Enhancing Personalised Cybersecurity Guidance for Older Adults in Ireland,” in Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, pp. 478–484, 2024. https://doi.org/10.1145/3678884.3681894
[19]H. Chen, M. He, X. Xu, and D. Atkin, “Examining Older Adults’ Vulnerability to Online Health Scams: Insights from Routine Activity Theory,” Frontiers in Public Health, vol. 13, p. 1585851, 2025. https://doi.org/10.3389/fpubh.2025.1585851
[20]M. D. Marzan, A. Stamate, and L. Spiru, “Digital Competence Among Older Adults: Is Self-Assessment Reliable?” Cureus, vol. 16, no. 11, 2024. https://doi.org/10.7759/cureus.73543
[21]F. R. Castillo-Villar and R. G. Castillo-Villar, “Mobile Banking Affordances and Constraints by the Elderly,” Marketing Intelligence & Planning, vol. 41, no. 1, pp. 124–137, 2023. https://doi.org/10.7759/cureus.73543
[22]M. Kritika, “Neuro-Cognitive Approaches to Cybersecurity: A Systematic Review Integrating Neuroscience and Cognitive Psychology for Human Factor Analysis,” Information & Computer Security, pp. 1–29, 2026. https://doi.org/10.1108/ics-03-2024-0076
[23]K. Khadka, A. B. Ullah, W. Ma, E. M. Marroquin, and Y. Alem, “A Survey on the Principles of Persuasion as a Social Engineering Strategy in Phishing,” in 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1631–1638, 2023. https://doi.org/10.1109/trustcom60117.2023.00222
[24]G. Lyon, “Informational Inequality: The Role of Resources and Attributes in Information Security Awareness,” Information & Computer Security, vol. 32, no. 2, pp. 197–217, 2024. https://doi.org/10.1108/ics-04-2023-0063
[25]A. Al Zaidy et al., “Measuring Cybersecurity Awareness of Students: A Study of State College Students,” Journal of Information Technology, Cybersecurity, and Artificial Intelligence, vol. 2, no. 3, pp. 17–40, 2025. https://doi.org/10.70715/jitcai.2025.v2.i3.030
[26]J. Choi et al., “Everyday Digital Literacy Questionnaire for Older Adults: Instrument Development and Validation Study,” Journal of Medical Internet Research, vol. 25, p. e51616, 2023. https://doi.org/10.2196/51616
[27]S. Kim, “Impact of Cybersecurity Self-Efficacy on Digital Economic Behaviors Among Older Adults,” INQUIRY: The Journal of Health Care Organization, Provision, and Financing, vol. 62, 2025. https://doi.org/10.1177/00469580251370933
[28]M. J. Al Ansari, Y. Al Ahmed, and H. H. El Bahnaswi, “Balancing Usability and Protection in AI and Data Security: A Human-Centric Approach,” in 2024 11th International Conference on Software Defined Systems (SDS), pp. 80–88, 2024. https://doi.org/10.1109/sds64317.2024.10883898
[29]X. Xu, W. C. H. Hong, K. Kolletar-Zhu, Y. Zhang, and C. Chi, “Validation and Application of the Human Aspects of Information Security Questionnaire for Undergraduates: Effects of Gender, Discipline and Grade Level,” Behaviour & Information Technology, vol. 43, no. 12, pp. 2799–2820, 2024. https://doi.org/10.1080/0144929x.2023.2260876
[30]R. P. Dalka, D. Sachmpazidi, C. Henderson, and J. P. Zwolak, “Network Analysis Approach to Likert-Style Surveys,” Physical Review Physics Education Research, vol. 18, no. 2, p. 020113, 2022. https://doi.org/10.1103/PhysRevPhysEducRes.18.020113