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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 Survey of Low Rate DDoS Detection Techniques Based on Machine Learning in Software-Defined Networks

2022SymmetryJournalOpen access

10.3390/sym14081563 Full text80 citations

Authors

6 authors across 5 institutions in 4 countries.

Abdussalam Ahmed AlashhabFirst author
- Alasmarya Islamic University (LY)
Mohd Soperi ZahidCorresponding
as printed: Mohd Soperi Mohd Zahid
Mohamed A. Azim
Muhammad Yunis Daha
Babangida Isyaku
- Sule Lamido University Kafin Hausa (NG)
Shimhaz AliSenior author

Fields

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

Network Security and Intrusion Detectionlevel 3 · 1.00
Software-Defined Networks and 5Glevel 3 · 1.00
Internet Traffic Analysis and Secure E-votinglevel 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 · Symmetry · 80 citations
https://openalex.org/W4289530011

A Survey of Low Rate DDoS Detection Techniques Based on Machine Learning in Software-Defined Networks · Sankore