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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.

Development of a Malicious Network Traffic Intrusion Detection System Using Deep Learning

2023International Journal of Safety and Security EngineeringJournalOpen access

10.18280/ijsse.130401 Full text14 citations

Authors

6 authors across 6 institutions in 3 countries.

Olisaemeka IsifeFirst author
- Covenant University (NG)
as printed: Olisaemeka F. Isife
Kennedy OkokpujieCorresponding
- Covenant University (NG)
- Lagos State University (NG)
Imhade P. Okokpujie
- University of Johannesburg (ZA)
- Afe Babalola University (NG)
Roselyn E. Subair
- Afe Babalola University (NG)
Akingunsoye Adenugba Vincent
Morayo E. AwomoyiSenior author

Fields

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

Network Security and Intrusion Detectionlevel 3 · 1.00
Anomaly Detection Techniques and Applicationslevel 3 · 0.99
Advanced Malware Detection Techniqueslevel 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 · International Journal of Safety and Security Engineering · 14 citations
https://openalex.org/W4387141790

Development of a Malicious Network Traffic Intrusion Detection System Using Deep Learning · Sankore