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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.

Hybrid Intrusion Detection Technique for Malicious Network Attacks with Machine Learning

20222022 International Conference on Electrical, Computer and Energy Technologies (ICECET)Publication

10.1109/icecet55527.2022.9872561 Full text1 citations

Authors

5 authors across 2 institutions in 1 country.

Ayei E. IborFirst author
- University of Calabar (NG)
as printed: Ayei Ibor
Moses Adah AGANA
- University of Calabar (NG)
as printed: Moses Agana
Bassey Igbo Ele
- University of Calabar (NG)
as printed: Bassey Ele
Idongesit Eteng
- University of Calabar (NG)
Prince AnaSenior author
- University of Cross River State (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 International Conference on Electrical, Computer and Energy Technologies (ICECET) · 1 citations
https://openalex.org/W4295036477

Hybrid Intrusion Detection Technique for Malicious Network Attacks with Machine Learning · Sankore