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Enhancing Proactive Cyber Defense: A Theoretical Framework for AI-Driven Predictive Cyber Threat Intelligence

2025-03-17Contribution to journal Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
dc.contributor.authorHasan, Kamrul
dc.contributor.authorHossain, Forhad
dc.contributor.authorAmin, Al
dc.contributor.authorSutradhar, Yadab
dc.contributor.authorJeny, Israt Jahan
dc.contributor.authorMahmud, Shakik
dc.date.accessioned2025-03-25T09:02:24Z
dc.date.available2025-03-25T09:02:24Z
dc.date.issued2025-03-17
dc.description.abstractThe rapid evolution of cyber threats and the dynamic nature of the threat landscape have necessitated the development of proactive and predictive defense mechanisms. This research proposes an AI-driven framework for predictive cyber threat intelligence aimed at enhancing organizational cybersecurity by identifying and mitigating threats before they materialize. The framework integrates diverse data sources, including network logs, endpoint data, and threat intelligence feeds, to generate actionable insights using advanced machine learning algorithms such as anomaly detection, pattern recognition, and predictive analytics. A continuous feedback loop ensures the adaptability of the framework through model retraining, anomaly adjustment, and performance monitoring. By leveraging supervised and unsupervised learning models, the framework addresses both known and unknown threats, providing scalable, real-time threat detection and risk assessment capabilities. This approach shifts the cybersecurity paradigm from reactive to proactive, enabling organizations to anticipate and counteract sophisticated cyber-attacks effectively. The proposed system’s application is demonstrated through practical scenarios, highlighting its potential to transform decision-making in high-stakes cybersecurity environments.eng
dc.identifier.citationHasan, K., Hossain, F., Amin, A., Sutradhar, Y., Jeny, I. J., & Mahmud, S. (2025). Enhancing Proactive Cyber Defense: A Theoretical Framework for AI-Driven Predictive Cyber Threat Intelligence. Journal of Technologies Information and Communication, 5(1), 33122. https://doi.org/10.55267/rtic/16176
dc.identifier.doihttps://doi.org/10.55267/rtic/16176
dc.identifier.issn2184-7665
dc.identifier.urihttp://hdl.handle.net/10400.26/57414
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIADITI Editions
dc.relation.hasversionhttps://www.rtic-journal.com/article/enhancing-proactive-cyber-defense-a-theoretical-framework-for-ai-driven-predictive-cyber-threat-16176
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCyber Threat Intelligence
dc.subjectArtificial Intelligence
dc.subjectMachine Learning
dc.subjectAnomaly Detection
dc.subjectCybersecurity Risk Assessment
dc.titleEnhancing Proactive Cyber Defense: A Theoretical Framework for AI-Driven Predictive Cyber Threat Intelligenceeng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleJournal of Technologies Information and Communication
oaire.citation.volume5
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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