
Advanced International Journal for Research
E-ISSN: 3048-7641
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From Reactive to Resilient: An OpenCTI-Driven Cyber Threat Intelligence Framework for Academic Institutions
Author(s) | Dr. Chika Lilian Onyagu, Mr. Izunna Lucky Chibuike |
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Country | Nigeria |
Abstract | The education sector; spanning universities, colleges, and research institutions, has increasingly become a prime target for cyber adversaries. Its open network environments, large and diverse user populations, and valuable intellectual property present a unique and challenging security landscape. Traditional reactive cybersecurity measures are often insufficient against the sophistication and persistence of modern threats. This paper introduces a proactive cyber threat intelligence (CTI) framework tailored specifically for the academic environment. Leveraging the open-source OpenCTI platform and integrating it with external intelligence sources such as AlienVault Open Threat Exchange (OTX), the proposed framework enables automated ingestion, enrichment, and analysis of threat data. By mapping this intelligence to the MITRE ATT&CK® framework, the approach provides deep insights into threat actors, their tactics, techniques, and procedures (TTPs). Using current OpenCTI data, the study identifies MirrorFace, LODEINFO, and MirrorStealer as significant threats to the sector, detailing their methods and associated attack models.Beyond identifying threats, the research outlines a four-pillar mitigation strategy: integrating threat intelligence into daily operations, hardening systems and managing patches, improving user awareness against phishing and social engineering, and strengthening incident response preparedness. This combination of technical and human-focused defenses shifts institutions from a reactive posture to a proactive, intelligence-driven security stance. By grounding the framework in open-source tools and community-driven data, the solution remains cost-effective and accessible; key considerations for resource-constrained academic environments. The findings demonstrate how structured intelligence, when operationalized effectively, can help institutions detect threats earlier, reduce risk exposure, and protect both institutional integrity and national research assets. This work contributes a practical, scalable, and actionable model for improving cybersecurity resilience in the education sector, with broader applicability to other open, collaborative environments facing similar challenges. |
Keywords | Cyber threat intelligence, education sector, OpenCTI framework, proactive security |
Field | Computer > Network / Security |
Published In | Volume 6, Issue 4, July-August 2025 |
Published On | 2025-08-23 |
DOI | https://doi.org/10.63363/aijfr.2025.v06i04.1112 |
Short DOI | https://doi.org/g9zx7k |
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E-ISSN 3048-7641

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AIJFR DOI prefix is
10.63363/aijfr
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