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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 Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks

2023International Journal of Computational Intelligence SystemsJournalOpen access

10.1007/s44196-023-00205-w Full text61 citations

Authors

6 authors across 6 institutions in 3 countries.

Joseph Bamidele AwotundeFirst author
- University of Ilorin (NG)
Femi Emmanuel Ayo
- Olabisi Onabanjo University (NG)
Ranjit PanigrahiCorresponding
Amik Garg
Akash Kumar BhoiCorresponding
Paolo BarsocchiSenior authorCorresponding

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 · 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
2023 · International Journal of Computational Intelligence Systems · 61 citations
https://openalex.org/W4323979650

A Multi-level Random Forest Model-Based Intrusion Detection Using Fuzzy Inference System for Internet of Things Networks · Sankore