MDOI Convergence Chronicles 110.0990/CON.2026.00961
110.0990/CON.2026.00961
Article

Integrating AI-based and conventional cybersecurity measures into online higher education settings: Challenges, opportunities, and prospects

Medha Mohan Ambali Parambil, Jaloliddin Rustamov, Soha Galalaldin Ahmed, Zahiriddin Rustamov, Ali Ismail Awad, Nazar Zaki, Fady Alnajjar 2024 Convergence Chronicles

Abstract

The rapid adoption of online learning in higher education has resulted in significant cybersecurity challenges. As educational institutions increasingly rely on digital platforms, they are facing cyber threats that can compromise sensitive data and disrupt operations. This systematic literature review explores the integration of artificial intelligence (AI) into traditional methods to address cybersecurity risks in online higher education. The review integrates a qualitative synthesis of relevant literature and a quantitative meta-analysis using PRISMA guidelines, ensuring comprehensive insights into the integration process. The most prevalent cybersecurity threats are examined, and the effectiveness of AI-based and conventional approaches in mitigating these challenges is compared. Additionally, the most effective AI techniques in cybersecurity solutions are analyzed, and their performance is compared across different contexts. Furthermore, the review considers the key ethical and technical considerations associated with integrating AI into traditional cybersecurity methods. The findings reveal that while AI-based techniques offer promising solutions for threat detection, authentication, and privacy preservation, their successful implementation requires careful consideration of data privacy, fairness, transparency, and robustness. The importance of interdisciplinary collaboration, continuous monitoring of AI models—by automated systems and humans—and the need for comprehensive guidelines to ensure responsible and ethical use of AI in cybersecurity are highlighted. The findings of this review provide actionable insights for educational institutions, educators, and students, helping to facilitate the development of secure and resilient online learning environments. The identified ethical and technical considerations can serve as a foundation for the responsible integration of AI into cybersecurity within the online higher-education sector.

Identifier Metadata

Identifier 110.0990/CON.2026.00961
Canonical mdoi:110.0990/CON.2026.00961
Resolver URL https://mdoi.org/110.0990/CON.2026.00961
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Medha Mohan Ambali Parambil, Jaloliddin Rustamov, Soha Galalaldin Ahmed, Zahiriddin Rustamov, Ali Ismail Awad, Nazar Zaki, Fady Alnajjar
Year 2024
Depositor Convergence Chronicles Organisation
Prefix 110.0990
Registered Aug. 10, 2026
Updated Aug. 10, 2026
Status Active
Visibility Public

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