Traffic Clustering

Traffic Clustering is a network traffic analysis method that partitions traffic flows into homogeneous groups based on shared behavioral or statistical characteristics to facilitate anomaly detection, classification, or visualization.

240

Publications

14.1K

Citations

736

Authors

299

Institutions

Publications per year

2017–2026

99

Variants

Network Traffic Clustering

Authors

736

  1. KX
    Kuai Xu

    Arizona State University, United States

    6 publications · 620 citations

    6

    h-index

  2. YW
    Yu Wang

    Guangzhou University, China

    4 publications · 202 citations

    4

    h-index

  3. JX
    Jingxin Xia

    Southeast University, China

    4 publications · 154 citations

    4

    h-index

  4. YX
    Yang Xiang

    Deakin University, Australia

    4 publications · 202 citations

    4

    h-index

  5. TN
    Takashi Nagatani

    Shizuoka University, Japan

    4 publications · 162 citations

    4

    h-index

1–5 of 736

Venues

  1. 9

    h-index

  2. IEEE Access

    8 publications · 243 citations

    8

    h-index

  3. 6

    h-index

  4. Procedia - Social and Behavioral Sciences

    5 publications · 189 citations

    5

    h-index

  5. 4

    h-index

1–5