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
3
1–3 of 3
5
1
h-index
Institut d'Economie Scientifique Et de Gestion, France
1 publications · 48 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 5
8
University of East London
London, United Kingdom
1 h-index
1 publications
48 citations

Baylor University
Waco, United States
1 h-index
1 publications
48 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
48 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
1 publications
17 citations
Institut d'Economie Scientifique Et de Gestion
Puteaux, France
1 h-index
1 publications
48 citations

University of London
London, United Kingdom
1 h-index
1 publications
48 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
1 publications
48 citations
University College London
London, United Kingdom
1 h-index
1 publications
48 citations
1–8 of 8
1 publications · 17 citations
1
h-index
JBR · 1 publications · 48 citations
1
h-index
1 publications · 10 citations
1–3