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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Machine Learning Models for DDoS Attack Detection: A Systematic Literature Review

2026Vokasi UNESA Bulletin of Engineering, Technology and Applied ScienceJournalOpen access

10.26740/vubeta.v3i2.40146 Full text0 citations

Authors

4 authors.

Chinyere Chioma IsiekweneFirst author
- University of Lagos (NG)
Nureni Ayofe AZEEZ
- University of Lagos (NG)
as printed: Nureni Ayofe Azeez
Solomon Akinboro
- University of Lagos (NG)
as printed: Solomon A. Akinboro
Oladipupo SennaikeSenior author
- University of Lagos (NG)

Fields

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

Network Security and Intrusion Detectionlevel 3 · 0.78
Internet of Things and AIlevel 3 · 0.02
Cybercrime and Law Enforcement Studieslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Vokasi UNESA Bulletin of Engineering, Technology and Applied Science · 0 citations
https://openalex.org/W7169726629

Machine Learning Models for DDoS Attack Detection: A Systematic Literature Review · Sankore