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Context-Aware Ghanaian Phishing Indicators (CGPI): A Ghana-Contextualised URL Feature Taxonomy for Phishing Detection in Higher Education

Domaine:

digital infrastructure

Type de record:

software
Créateur:
Ann
Éditeur:
Zenodo
Hôte:avatar
This deposit describes the 15 Context-Aware Ghanaian Phishing Indicators (CGPI) engineered for the GH-XGBoost phishing detection model developed as part of an MSc thesis at the Kwame Nkrumah University of Science and Technology (KNUST), Ghana (2026). Features are organised into four categories: Ghanaian university ecosystem features, Ghana digital payment context features, student-targeted phishing language features, and structural features. Each feature includes its construction rule, data type, and source reference. Full source code and pipeline available at Providence-Design/xai-phish…

Tasks

text classification

Languages

Kwami

Tags

phishing detection Ghana XGBoost explainable AI CGPI cybersecurity higher education KNUST SHAP GH-XGBoost

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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