Threat Data Normalization

Threat Data Normalization is a methodological process within threat intelligence integration that standardizes heterogeneous threat data into a consistent format, syntax, and semantic structure to enable interoperability, correlation, and automated analysis across disparate security platforms and sources.

2

Publications

122

Citations

20

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

20

  1. PA
    Peter A. Torrione

    Duke University, United States

    1 publications · 30 citations

    1

    h-index

  2. BA
    Bruno A. Nhancale

    University of Kent, United Kingdom

    1 publications · 92 citations

    1

    h-index

  3. JE
    Julian Easton

    Rwanda Wildlife Conservation Association, Rwanda

    1 publications · 92 citations

    1

    h-index

  4. BS
    Bartolomeu Soto

    University of Eswatini, Eswatini

    1 publications · 92 citations

    1

    h-index

  5. CN
    C.P. Ntumi

    Eduardo Mondlane University, Mozambique

    1 publications · 92 citations

    1

    h-index

1–5 of 20

Venues

  1. 1

    h-index

  2. Biological Conservation

    1 publications · 92 citations

    1

    h-index

1–2