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

Publications

14.2K

Citations

573

Authors

259

Institutions

Publications per year

2017–2026

142

Authors

573

  1. FD
    Filip De Turck

    Ghent University, Belgium

    4 publications · 137 citations

    4

    h-index

  2. LD
    Laurens D’hooge

    Ghent University, Belgium

    4 publications · 137 citations

    4

    h-index

  3. BV
    Bruno Volckaert

    Ghent University, Belgium

    4 publications · 137 citations

    4

    h-index

  4. PB
    Pete Burnap

    Cardiff University, United Kingdom

    4 publications · 726 citations

    4

    h-index

  5. TW
    Tim Wauters

    Ghent University, Belgium

    4 publications · 137 citations

    4

    h-index

1–5 of 573

Venues

  1. Procedia Computer Science

    7 publications · 637 citations

    7

    h-index

  2. IEEE Access

    7 publications · 1K citations

    7

    h-index

  3. Computers & Security

    5 publications · 691 citations

    5

    h-index

  4. Applied Sciences

    4 publications · 269 citations

    4

    h-index

  5. Electronics

    3 publications · 319 citations

    3

    h-index

1–5