Domain Generation Algorithm Analysis
Domain Generation Algorithm Analysis is a methodological framework in botnet analysis that systematically identifies and characterizes algorithmically generated domain names to distinguish malicious traffic from benign activity through pattern recognition and behavioral inference.
22
Publications
896
Citations
79
Authors
37
Institutions
Publications per year
2017–2026
16
Parents
22
A Taxonomy of Domain-Generation Algorithms
Aditya Sood, Sherali Zeadally · IEEE Security & Privacy · 2016 · 75 citations
Detecting DGA malware using NetFlow
Martin Grill, I.Yu. Nikolaev, Veronica Valeros et al. · 2015 · 74 citations
1–5 of 22
79
3
h-index
3
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
1 publications · 180 citations
1
h-index
1
h-index
1
h-index
1–5 of 79
37

Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
600 citations
Institute of Information Engineering
Beijing, China
4 h-index
17 publications
617 citations
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
Marousi, Greece
2 h-index
3 publications
67 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
237 citations
ZTE (China)
Shenzhen, China
2 h-index
3 publications
49 citations

University of Piraeus
Piraeus, Greece
2 h-index
5 publications
106 citations
Higher Colleges of Technology
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
23 citations

Southeast University
Nanjing, China
1 h-index
2 publications
90 citations
1–8 of 37
Conference · 1 publications · 25 citations
1
h-index
1 publications · 45 citations
1
h-index
1 publications · 23 citations
1
h-index
Repository · 1 publications · 180 citations
1
h-index
1 publications · 30 citations
1
h-index
1–5