Authors : Paul Mutabazi; Dr. Bosco Musabe

Volume/Issue : Volume 11 - 2026, Issue 9 - September

DOI : https://doi.org/10.38124/ijisrt/26sep1046

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This study developed and evaluated an integrated cyber threat monitoring system to improve web defacement detection and service availability monitoring in Rwanda. The system combined automated monitoring, rule-based threat classification, and Natural Language Processing techniques to detect suspicious website activities in English, French, and Kinyarwanda. A mixed-methods approach was used to evaluate system performance and user feedback. The platform monitored 45 critical websites at the National Cybersecurity Authority over five months. The results showed significant improvements in detection speed, false positive reduction, and threat classification accuracy, while maintaining high system reliability. The findings demonstrate that integrated monitoring systems can strengthen cybersecurity operations in resource-constrained environments.

Keywords : Cybersecurity, Web Defacement Detection, Service Availability Monitoring, Threat Classification, Integrated Monitoring, Rwanda.

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