Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 24 min ago
Peer-reviewedCC BYScientific Reports

A hybrid structural and artificial intelligence approach for cybersecurity situational awareness among high school students

  1. 1Universiti Kebangsaan Malaysia (UKM)

Abstract

Using a combination of structural and artificial intelligence approaches, this paper investigates cybersecurity situational awareness in high school students. With the increasing use of digital platforms by students for various purposes such as learning, communication, and entertainment, their exposure to phishing, malware, identity theft, cyberbullying, and other types of online threats is on the rise. Still, there is not enough research that explains how cybersecurity situational awareness among school students is formed using both theory-based and predictive methods. Based on the Situational Awareness Theory, this study explored how perception, comprehension, projection, educational intervention, and environmental support contribute to Cybersecurity Outcome Competence (COC). Quantitative research methods were employed to execute this study using a structured survey instrument to collect data from high school students. The research methods involved a mix of descriptive statistics, structural modeling, predictive analytics, and explainability techniques. The results show that students have an moderate level of cybersecurity situational awareness. Environmental support, understanding, awareness, and educational intervention were identified as the main factors that explained cybersecurity outcomes, while self-related confidence was the least influential factor. In general, the study reveals that student cybersecurity competence is influenced not only by individual knowledge but also by educational practices and the broader social environment, thereby providing useful insights for evidence-based cybersecurity awareness initiatives and planning in ‍‌‍‍‌‍‌‍‍‌schools.

Related

  1. Knowledge, Awareness, and Perception toward Ethical Guidelines for Artificial Intelligence in Biomedical Research and Healthcare among Dental Faculty and Postgraduates – A Cross-sectional Study
    Karthiga Sakthi, Roopali M. Sankeshwari, Anil V. Ankola +4
    Journal of Indian Association of Public Health DentistryPeer-reviewedCC BY-NC-SAFull textEpidemiology & public healthDOAJ
  2. Artificial intelligence in Vietnamese healthcare: public awareness, demand, and willingness to pay
    Tam Ngo Thi, Thanh Nguyen Hoang, Hoang Duc Hanh +1
    BMC Health Services ResearchPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
  3. Artificial intelligence awareness, usage, and readiness among fellows of the West African college of physicians.
    Manmak Mamven, Obinna O Oleribe, Uduak Offiong +6
    BMC medical educationPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
  4. Predicting follow-up cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis
    Ceren Tozlu, Dylan Ong, Christopher Piccirillo +6
    Nature CommunicationsPeer-reviewedCC BY-NC-ND 4.0Full textGeneral medicineCrossref
  5. Awareness, Attitudes, and Barriers Toward Artificial Intelligence in Dentistry: A Cross-Sectional Survey of Dental Professionals in Kuwait.
    Kawther Ali, Alghalyah Al-Ali, Maryam Safar +1
    Dentistry journalPeer-reviewedCC BYFull text1 citedEpidemiology & public healthEurope PMCDOAJ
BibTeX
@article{arishi2026hybrid,
  title = {{A hybrid structural and artificial intelligence approach for cybersecurity situational awareness among high school students}},
  author = {Abdulrahman Abdullah Arishi and Nazhatul Hafizah Kamarudin and Khairul Azmi Abu Bakar},
  journal = {Scientific Reports},
  year = {2026},
  month = jul,
  doi = {10.1038/s41598-026-64107-5},
  url = {https://doi.org/10.1038/s41598-026-64107-5},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A hybrid structural and artificial intelligence approach for cybersecurity situational awareness among high school students
AU  - Abdulrahman Abdullah Arishi
AU  - Nazhatul Hafizah Kamarudin
AU  - Khairul Azmi Abu Bakar
PY  - 2026
DA  - 2026/07/01
JO  - Scientific Reports
DO  - 10.1038/s41598-026-64107-5
UR  - https://doi.org/10.1038/s41598-026-64107-5
AB  - Using a combination of structural and artificial intelligence approaches, this paper investigates cybersecurity situational awareness in high school students. With the increasing use of digital platforms by students for various purposes such as learning, communication, and entertainment, their exposure to phishing, malware, identity theft, cyberbullying, and other types of online threats is on the rise. Still, there is not enough research that explains how cybersecurity situational awareness among school students is formed using both theory-based and predictive methods. Based on the Situational Awareness Theory, this study explored how perception, comprehension, projection, educational intervention, and environmental support contribute to Cybersecurity Outcome Competence (COC). Quantitative research methods were employed to execute this study using a structured survey instrument to collect data from high school students. The research methods involved a mix of descriptive statistics, structural modeling, predictive analytics, and explainability techniques. The results show that students have an moderate level of cybersecurity situational awareness. Environmental support, understanding, awareness, and educational intervention were identified as the main factors that explained cybersecurity outcomes, while self-related confidence was the least influential factor. In general, the study reveals that student cybersecurity competence is influenced not only by individual knowledge but also by educational practices and the broader social environment, thereby providing useful insights for evidence-based cybersecurity awareness initiatives and planning in ‍‌‍‍‌‍‌‍‍‌schools.
SN  - 2045-2322
ER  -