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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.

Autoencoder-based model for detecting IoT network traffic anomalies

2025Science World JournalJournalOpen access

10.4314/swj.v20i4.8 Full text0 citations

Authors

6 authors across 2 institutions in 1 country.

Bako Halilu EggaFirst author
- Nasarawa State University (NG)
Abdullahi Salihu Audu
- Nasarawa State University (NG)
Gilbert I.O. Aimufua
- Nasarawa State University (NG)
as printed: Gilbert O.I. Aimufua
Morufu Olalere
- Nasarawa State University (NG)
Binyamin Adeniyi Ajayi
- Nasarawa State University (NG)
Igila Terngu SolomonSenior author
- Kaduna State University (NG)

Fields

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

Network Security and Intrusion Detectionlevel 3 · 0.93
Internet Traffic Analysis and Secure E-votinglevel 3 · 0.01
Anomaly Detection Techniques and Applicationslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2025 · Science World Journal · 0 citations
https://openalex.org/W7138835851

Autoencoder-based model for detecting IoT network traffic anomalies · Sankore