Detection Tuning

Detection Tuning is a methodological contribution within the field of cybersecurity threat hunting that refines detection logic and analytical parameters to enhance the precision and efficacy of identifying malicious behaviors while reducing false positives.

5

Publications

167

Citations

19

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

19

  1. DR
    Dominiek Reynaerts

    KU Leuven, Belgium

    1 publications · 22 citations

    1

    h-index

  2. SB
    Samik Basu

    Iowa State University, United States

    1 publications · 11 citations

    1

    h-index

  3. RE
    Rafael Estepa

    Universidad de Sevilla, Spain

    1 publications · 91 citations

    1

    h-index

  4. JQ
    Jun Qian

    KU Leuven, Belgium

    1 publications · 22 citations

    1

    h-index

  5. DD
    Debatosh Debnath

    Oakland University, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 19

Venues

  1. Journal of Manufacturing Processes

    JMP · 1 publications · 22 citations

    1

    h-index

  2. Applied Sciences

    1 publications · 91 citations

    1

    h-index

  3. Dyes and Pigments

    1 publications · 26 citations

    1

    h-index

  4. IAES International Journal of Artificial Intelligence

    IJAI · 1 publications · 11 citations

  5. Electronics

    1 publications · 12 citations

1–5