Worm Behavior Analysis

Worm Behavior Analysis is a systematic analytical framework within behavioral analysis that specifically characterizes the dynamic interaction patterns, decision-making mechanisms, and adaptive responses of digital worms in networked environments to predict, model, or mitigate their propagation and impact.

261

Publications

18.1K

Citations

615

Authors

246

Institutions

Publications per year

2017–2026

22

Authors

615

  1. VP
    Vern Paxson

    International Computer Science Institute, United States

    8 publications · 2.2K citations

    8

    h-index

  2. YX
    Yang Xiang

    Deakin University, Australia

    7 publications · 277 citations

    7

    h-index

  3. WG
    Weibo Gong

    University of Massachusetts Amherst, United States

    7 publications · 1.8K citations

    7

    h-index

  4. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    7 publications · 1.8K citations

    7

    h-index

  5. CC
    Cliff C. Zou

    University of Central Florida, United States

    7 publications · 1.8K citations

    7

    h-index

1–5 of 615

Venues

  1. IEEE Security & Privacy

    7 publications · 1.6K citations

    7

    h-index

  2. PLoS ONE

    5 publications · 457 citations

    5

    h-index

  3. Communications of the ACM

    5 publications · 341 citations

    5

    h-index

  4. 4

    h-index

  5. IEEE Transactions on Dependable and Secure Computing

    TDSC · 4 publications · 195 citations

    4

    h-index

1–5