Worm Traffic Analysis

Worm Traffic Analysis is a network security methodology that distinguishes itself by focusing on the systematic examination and characterization of communication patterns generated by self-replicating malware to identify, model, and mitigate worm propagation within digital networks.

238

Publications

14.5K

Citations

584

Authors

249

Institutions

Publications per year

2017–2026

26

Authors

584

  1. VP
    Vern Paxson

    International Computer Science Institute, United States

    8 publications · 2.3K citations

    8

    h-index

  2. SC
    Shigang Chen

    University of Florida, United States

    6 publications · 343 citations

    6

    h-index

  3. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    6 publications · 1.1K citations

    6

    h-index

  4. WY
    Wei Yu

    Towson University, United States

    6 publications · 223 citations

    6

    h-index

  5. WG
    Weibo Gong

    University of Massachusetts Amherst, United States

    5 publications · 926 citations

    5

    h-index

1–5 of 584

Venues

  1. Applied Mathematical Modelling

    5 publications · 385 citations

    5

    h-index

  2. Computer Networks

    5 publications · 238 citations

    5

    h-index

  3. Computers & Security

    5 publications · 137 citations

    5

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 4 publications · 157 citations

    4

    h-index

  5. IEEE Security & Privacy

    3 publications · 262 citations

    3

    h-index

1–5