Unsupervised Bot Detection
Unsupervised Bot Detection is a methodological approach within computational cybersecurity that identifies automated agents in digital systems through pattern recognition and behavioral clustering without relying on pre-labeled training data.
17
Publications
773
Citations
57
Authors
26
Institutions
Publications per year
2017–2026
15
Parents
17
Unsupervised Anomaly Based Botnet Detection in IoT Networks
Sven Nõmm, Hayretdin Bahşi · 2018 · 109 citations
IoT Botnet Anomaly Detection Using Unsupervised Deep Learning
Ioana Apostol, Marius Preda, Constantin Nilă et al. · Electronics · 2021 · 81 citations · Full text
Amanda Minnich, Nikan Chavoshi, Danai Koutra et al. · 2017 · 59 citations
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26
NetEase (China)
Beijing, China
2 h-index
6 publications
172 citations

Zhejiang University
Hangzhou, China
2 h-index
6 publications
152 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
59 citations
University of New Mexico
Albuquerque, United States
1 h-index
3 publications
63 citations
Tallinn University of Technology
Tallinn, Estonia
1 h-index
2 publications
218 citations
University of Illinois Chicago
Chicago, United States
1 h-index
1 publications
68 citations

Universidade Federal do Paraná
Curitiba, Brazil
1 h-index
4 publications
72 citations
COMSATS University Islamabad
Islamabad, Pakistan
1 h-index
3 publications
54 citations
1–8 of 26
JNCA · 1 publications · 42 citations
1
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Conference · 1 publications · 18 citations
1
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1 publications · 104 citations
1
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TKDD · 1 publications · 22 citations
1
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1 publications · 54 citations
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