Access Control Ontologies

Access Control Ontologies is a formal, structured representation of knowledge that categorizes and defines the entities, relationships, and rules governing access control within information systems, distinguished by its use of ontological frameworks to enable machine-readable, interoperable, and context-aware security policies.

51

Publications

2.5K

Citations

151

Authors

77

Institutions

Publications per year

2017–2026

8

Authors

151

  1. AJ
    Anupam Joshi

    University of Maryland, Baltimore County, United States

    4 publications · 295 citations

    4

    h-index

  2. LK
    Lalana Kagal

    Massachusetts Institute of Technology, United States

    3 publications · 423 citations

    3

    h-index

  3. TF
    Tim Finin

    University of Maryland, Baltimore County, United States

    3 publications · 423 citations

    3

    h-index

  4. BT
    Bhavani Thuraisingham

    The University of Texas at Dallas, United States

    2 publications · 175 citations

    2

    h-index

  5. RS
    Ravi Sandhu

    The University of Texas at San Antonio, United States

    2 publications · 218 citations

    2

    h-index

1–5 of 151

Venues

  1. Environmental Research

    1 publications · 12 citations

    1

    h-index

  2. Journal of Software

    JSW · 1 publications · 54 citations

    1

    h-index

  3. The Computer Journal

    1 publications · 36 citations

    1

    h-index

  4. Computers in Industry

    1 publications · 98 citations

    1

    h-index

  5. Journal of Medical Systems

    1 publications · 19 citations

    1

    h-index

1–5