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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Enhancing Phishing Universal Resource Locator Detection Systems Using Hybrid Machine Learning Classifiers and Data Balancing Techniques

2024Publication

10.1109/icspc63060.2024.10862013 Full text1 citations

Authors

7 authors across 7 institutions in 4 countries.

Mohammed Auwal IbrahimFirst author
- Nigerian Defence Academy (NG)
as printed: Mohammed Ibrahim
Bello Muhammed Hadi
- Nigerian Defence Academy (NG)
Muhammed Basheer Jasser
Samuel-Soma M. Ajibade
Athirah Mohd Ramly
Yoke Leng Yong
Bayan IssaSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Spam and Phishing Detectionlevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 0.95
Imbalanced Data Classification Techniqueslevel 3 · 0.92

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · 1 citations
https://openalex.org/W4407169691

Enhancing Phishing Universal Resource Locator Detection Systems Using Hybrid Machine Learning Classifiers and Data Balancing Techniques · Sankore