Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Unveiling the Dark Web: Enhancing Machine Learning Models for Deciphering Illicit Communication Patterns

2025International Journal of Information and Communication SciencesJournalOpen access

10.11648/j.ijics.20251002.11 Full text0 citations

Authors

6 authors across 5 institutions in 3 countries.

Suleiman FaroukFirst author
- Baze University (NG)
Aliyu UmarCorresponding
- Hussaini Adamu Federal Polytechnic (NG)
Faki Silas
- Baze University (NG)
Usman Bala
- West African College of Physicians (NG)
A. Lawan
as printed: Adamu Lawan
Abdullahi AbdulkadirSenior author

Fields

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

Cybercrime and Law Enforcement Studieslevel 3 · 1.00
Spam and Phishing Detectionlevel 3 · 1.00
Advanced Malware Detection Techniqueslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Information and Communication Sciences · 0 citations
https://openalex.org/W4411839751

Unveiling the Dark Web: Enhancing Machine Learning Models for Deciphering Illicit Communication Patterns · Sankore