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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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AN ENHANCED FEATURE SELECTION AND CLASSIFICATION MODEL FOR NETWORK INTRUSION DETECTION SYSTEM USING DATA MINING TECHNIQUES

2022Indian Journal of Computer Science and EngineeringJournalOpen access

10.21817/indjcse/2022/v13i1/221301081 Full text0 citations

Authors

3 authors across 4 institutions in 2 countries.

Folorunsho OlaiyaFirst author
- North-West University (ZA)
- University of Ilorin (NG)
- Federal University Oye Ekiti (NG)
as printed: Olaiya Folorunsho
Ismail Adelabu Adegbola
- North-West University (ZA)
- Federal College of Education, Kano (NG)
- University of Ilorin (NG)
- Federal University Oye Ekiti (NG)
Rasheed Gbenga JimohSenior author
- North-West University (ZA)
- University of Ilorin (NG)
- Federal University Oye Ekiti (NG)

Fields

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Network Security and Intrusion Detectionlevel 3 · 0.81

Sources

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

openalexseen September 9, 2026
2022 · Indian Journal of Computer Science and Engineering · 0 citations
https://openalex.org/W4212923265

AN ENHANCED FEATURE SELECTION AND CLASSIFICATION MODEL FOR NETWORK INTRUSION DETECTION SYSTEM USING DATA MINING TECHNIQUES · Sankore