Application Traffic Identification

Application Traffic Identification is a network traffic analysis technique that classifies data flows according to the specific applications generating them by analyzing distinctive traffic patterns, payload characteristics, or behavioral signatures.

126

Publications

7.9K

Citations

391

Authors

151

Institutions

Publications per year

2017–2026

39

Authors

391

  1. MK
    Myung‐Sup Kim

    Korea University, South Korea

    6 publications · 228 citations

    6

    h-index

  2. AN
    Antonio Nucci

    Politecnico di Torino, Italy

    5 publications · 286 citations

    5

    h-index

  3. JW
    James Won‐Ki Hong

    Pohang University of Science and Technology, South Korea

    4 publications · 199 citations

    4

    h-index

  4. AT
    Alok Tongaonkar

    NortonLifeLock (United States), United States

    4 publications · 224 citations

    4

    h-index

  5. YN
    Yoshihiro Nakahira

    Osaka City University, Japan

    3 publications · 100 citations

    3

    h-index

1–5 of 391

Venues

  1. 2

    h-index

  2. IEICE Transactions on Communications

    2 publications · 83 citations

    2

    h-index

  3. China Communications

    2 publications · 25 citations

    2

    h-index

  4. Electronics

    2 publications · 72 citations

    2

    h-index

  5. IEEE Access

    2 publications · 146 citations

    2

    h-index

1–5