Concepedia

Cloud Configuration Drift Detection

Cloud Configuration Drift Detection is a methodological framework within cloud audit and configuration compliance that enables the systematic identification and tracking of unintended deviations between the actual runtime configurations of cloud resources and their predefined, authorized baseline states.

2

Publications

51

Citations

10

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

10

  1. CK
    Charlie Kaufman

    Oracle (United States), United States

    1 publications · 32 citations

    1

    h-index

  2. GO
    Geoff Outhred

    Technion – Israel Institute of Technology, Israel

    1 publications · 32 citations

    1

    h-index

  3. KJ
    Karthick Jayaraman

    Syracuse University, United States

    1 publications · 32 citations

    1

    h-index

  4. TX
    Tianyin Xu

    University of Illinois Urbana-Champaign, United States

    1 publications · 19 citations

    1

    h-index

  5. YZ
    Yuanliang Zhang

    Zhejiang University, China

    1 publications · 19 citations

    1

    h-index

1–5 of 10

Institutions

3

  1. University of Illinois Urbana-Champaign

    Urbana, United States

    1 h-index

    2 publications

    38 citations

  2. Cornell University

    Ithaca, United States

    1 h-index

    1 publications

    19 citations

  3. National University of Defense Technology

    Changsha, China

    1 h-index

    4 publications

    76 citations

1–3 of 3