Software-based Filtering

Software-Based Filtering is a packet filtering method that uses software implementations running on general-purpose processors to inspect and control network traffic based on predefined rules, distinguishing it from hardware-based approaches by its reliance on programmable software rather than dedicated physical devices.

10

Publications

361

Citations

32

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

32

  1. VP
    Vasileios P. Kemerlis

    Columbia University, United States

    1 publications · 28 citations

    1

    h-index

  2. RF
    Rodrigo Fonseca

    John Brown University, United States

    1 publications · 28 citations

    1

    h-index

  3. KG
    Kostas G. Anagnostakis

    University of Pennsylvania, United States

    1 publications · 39 citations

    1

    h-index

  4. AD
    Angelos D. Keromytis

    Columbia University, United States

    1 publications · 39 citations

    1

    h-index

  5. DJ
    Di Jin

    John Brown University, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 32

Venues

  1. Journal of Optical Communications and Networking

    JOCN · 1 publications · 62 citations

    1

    h-index

  2. Communications of the ACM

    1 publications · 22 citations

    1

    h-index

  3. Surveillance & Society

    1 publications · 28 citations

    1

    h-index

  4. Software Practice and Experience

    1 publications · 22 citations

    1

    h-index

  5. IEEE Transactions on Biomedical Engineering

    1 publications · 76 citations

    1

    h-index

1–5