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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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Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks

2025Journal of the Nigerian Society of Physical SciencesJournalOpen access

10.46481/jnsps.2025.2689 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Ayei E. IborFirst author
- University of Calabar (NG)
as printed: A. E. Ibor
David Oboboho Egete
- University of Calabar (NG)
as printed: D. O. Egete
Otiko, A. O.
- University of Cross River State (NG)
as printed: A. O. Otiko
DENIS UNDIUKEYE ASHISHIESenior author
- University of Calabar (NG)
as printed: D. U. Ashishie

Fields

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

Network Security and Intrusion Detectionlevel 3 · 0.98
Anomaly Detection Techniques and Applicationslevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2025 · Journal of the Nigerian Society of Physical Sciences · 0 citations
https://openalex.org/W4411240870

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach anddeep neural networks · Sankore