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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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A Predictive Cyber Threat Model for Mobile Money Services

2023Annals of Emerging Technologies in ComputingJournalOpen access

10.33166/aetic.2023.01.004 Full text12 citations

Authors

5 authors across 4 institutions in 2 countries.

Mistura Laide SanniFirst author
- Obafemi Awolowo University (NG)
Bodunde Odunola Akinyemi
- Obafemi Awolowo University (NG)
Dauda Akinwuyi Olalere
- Media Rights Agenda (NG)
- Medical Laboratory Science Council of Nigeria (NG)
Emmanuel Ajayi Olajubu
- Obafemi Awolowo University (NG)
Ganiyu Adesola AderounmuSenior author
- Obafemi Awolowo University (NG)

Fields

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

Cybercrime and Law Enforcement Studieslevel 3 · 1.00
Spam and Phishing Detectionlevel 3 · 1.00
FinTech, Crowdfunding, Digital Financelevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2023 · Annals of Emerging Technologies in Computing · 12 citations
https://openalex.org/W4313622629

A Predictive Cyber Threat Model for Mobile Money Services · Sankore