Cybersecurity and Digital Learning in Higher Education: Emerging Threats, Protective Technologies, and Future Directions
Adesegun Nurudeen Osijirin, Leonard C. Anigbo, Oliver Okechukwu, Chima, Agwuama Okporie, Shamsudeen Mohammed Sada
Asian Journal of Research in Computer Science · pp. 137–155 · Published 9 Jul 2026
10.9734/ajrcos/2026/v19i7884Abstract
Higher education institutions occupy a uniquely exposed position in the global cybersecurity landscape. The convergence of large-scale digital transformation, open-access network philosophies, diverse user populations, and repositories of sensitive personal and research data has made universities consistently attractive targets for a wide spectrum of cyber threats. This critical review synthesises peer-reviewed literature and authoritative institutional evidence published between 2018 and March 2026, examining the evolving threat landscape confronting higher education institutions, with particular attention to ransomware, phishing, data breaches, insider threats, and the emerging risks associated with generative artificial intelligence. Protective technologies including zero-trust architectures, AI-driven intrusion detection, multi-factor authentication, and cloud security frameworks are critically assessed in relation to their applicability within academic environments. The human dimension of cybersecurity receives substantial attention, with cybersecurity awareness, training effectiveness, and behavioural factors examined across student and staff populations. Governance, policy, and regulatory considerations are discussed alongside the specific vulnerabilities of digital learning platforms and learning management systems. Findings indicate that whilst technological solutions are advancing, the most persistent vulnerabilities in higher education institutions remain structural and human, demanding integrated responses that combine robust technology governance with sustained cultural change. The review concludes by identifying key future directions, including quantum-resilient cryptography, federated security models, and sector-wide intelligence sharing.
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