Identity-based Segmentation

Identity-Based Segmentation is a network segmentation approach that classifies and isolates traffic flows based on the authenticated identity of users, devices, or workloads, rather than on static network attributes such as IP addresses or physical topology.

3

Publications

75

Citations

5

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

5

  1. EK
    Eva Kipnis

    Coventry University, United Kingdom

    1 publications · 48 citations

    1

    h-index

  2. CD
    Catherine Demangeot

    Institut d'Economie Scientifique Et de Gestion, France

    1 publications · 48 citations

    1

    h-index

  3. SX
    Sifan Xu

    University of Tennessee at Knoxville, United States

    1 publications · 17 citations

    1

    h-index

  4. CP
    Chris Pullig

    Baylor University, United States

    1 publications · 48 citations

    1

    h-index

  5. AJ
    Amanda J. Broderick

    Aston University, United Kingdom

    1 publications · 48 citations

    1

    h-index

1–5 of 5

Venues

  1. Journal of Public Relations Research

    1 publications · 17 citations

    1

    h-index

  2. Journal of Business Research

    JBR · 1 publications · 48 citations

    1

    h-index

  3. Cyber Security and Applications

    1 publications · 10 citations

1–3