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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.

ADAPTIVE IOT THREAT INTELLIGENCE: A MACHINE LEARNING FRAMEWORK FOR DYNAMIC ATTACK PATTERN RECOGNITION

2025Open Journal of Physical Science (ISSN 2734-2123)JournalOpen access

10.52417/ojps.v6i1.733 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Muhammad Mamman KontagoraFirst author
- Nasarawa State University (NG)
as printed: M. M. Kontagora
Steve A. Adeshina
- Nile University of Nigeria (NG)
as printed: S. A. Adeshina
H. MusaSenior author
- Nasarawa State University (NG)

Fields

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

Network Security and Intrusion Detectionlevel 3 · 0.99
Advanced Malware Detection Techniqueslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2025 · Open Journal of Physical Science (ISSN 2734-2123) · 0 citations
https://openalex.org/W4408578193

ADAPTIVE IOT THREAT INTELLIGENCE: A MACHINE LEARNING FRAMEWORK FOR DYNAMIC ATTACK PATTERN RECOGNITION · Sankore