Firewall Rule Optimization

Firewall Rule Optimization is a systematic method within firewall administration that enhances the efficiency and security of cloud firewall configurations by minimizing rule redundancy, resolving conflicts, and prioritizing rules through formal analysis, thereby distinguishing itself from general rule management techniques through its focus on algorithmic precision and policy conformance.

27

Publications

741

Citations

77

Authors

39

Institutions

Publications per year

2017–2026

7

Authors

77

  1. ZG
    Zihui Ge

    AT&T (United States), United States

    2 publications · 91 citations

    2

    h-index

  2. AY
    Anis Yazidi

    OsloMet – Oslo Metropolitan University, Norway

    2 publications · 29 citations

    2

    h-index

  3. ET
    Eric Torng

    Michigan State University, United States

    2 publications · 99 citations

    2

    h-index

  4. CR
    Chad R. Meiners

    Michigan State University, United States

    2 publications · 99 citations

    2

    h-index

  5. SA
    Subrata Acharya

    Towson University, United States

    2 publications · 91 citations

    2

    h-index

1–5 of 77

Venues

  1. 1

    h-index

  2. IEEE Transactions on Network and Service Management

    TNSM · 1 publications · 34 citations

    1

    h-index

  3. IET Information Security

    1 publications · 21 citations

    1

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 47 citations

    1

    h-index

  5. Computers & Security

    1 publications · 19 citations

    1

    h-index

1–5