Supervised Intrusion Detection
Supervised Intrusion Detection is a machine learning–based intrusion detection approach that belongs to the category of intrusion detection methods and is distinguished by its reliance on labeled training data to classify network or system behavior as normal or malicious.
193
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14.2K
Citations
573
Authors
259
Institutions
Publications per year
2017–2026
142
Parents
193
Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri · Expert Systems with Applications · 2016 · 451 citations
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259

King Abdulaziz University
Jeddah, Saudi Arabia
5 h-index
10 publications
437 citations
Cardiff University
Cardiff, United Kingdom
4 h-index
16 publications
3.4K citations

Ghent University
Ghent, Belgium
4 h-index
17 publications
565 citations
Vellore Institute of Technology University
Vellore, India
4 h-index
4 publications
188 citations

Indian Institute of Science Bangalore
Bengaluru, India
3 h-index
5 publications
188 citations
Kennesaw State University
Kennesaw, United States
3 h-index
8 publications
170 citations
Princess Sumaya University for Technology
Amman, Jordan
3 h-index
3 publications
122 citations

King Saud University
Riyadh, Saudi Arabia
3 h-index
4 publications
325 citations
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7 publications · 637 citations
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7 publications · 1K citations
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5 publications · 691 citations
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4 publications · 269 citations
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3 publications · 319 citations
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