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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 Review of Deep Learning Techniques for Network Intrusions Detection towards Efficient Model Developments

20222022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)Publication

10.1109/nigercon54645.2022.9803080 Full text9 citations

Authors

4 authors across 3 institutions in 1 country.

Olufunso AlowoloduFirst author
- Federal University of Technology (NG)
as printed: Olufunso Dayo Alowolodu
Adebayo Olusola Adetunmbi
- Federal University of Technology (NG)
Jacob Olorunshogo Mebawondu
- Federal Polytechnic, Nasarawa (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Olamatanmi Josephine MebawonduSenior author
- Federal University of Technology (NG)

Fields

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

Network Security and Intrusion Detectionlevel 3 · 1.00
Internet Traffic Analysis and Secure E-votinglevel 3 · 1.00
Advanced Malware Detection Techniqueslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) · 9 citations
https://openalex.org/W4283692138

A Review of Deep Learning Techniques for Network Intrusions Detection towards Efficient Model Developments · Sankore