Dynamic Malware Classification

Dynamic Malware Classification is a malware classification approach that analyzes the runtime behavior of executable code in controlled execution environments to distinguish malicious software based on observed dynamic characteristics rather than static structural features.

62

Publications

3.4K

Citations

209

Authors

75

Institutions

Publications per year

2017–2026

40

Variants

Behavioral Malware Classification

Authors

209

  1. EG
    Eul Gyu Im

    Hanyang University, South Korea

    3 publications · 109 citations

    3

    h-index

  2. GS
    Guowei Shen

    Guizhou University, China

    2 publications · 119 citations

    2

    h-index

  3. EL
    Emil Lupu

    Imperial College London, United Kingdom

    2 publications · 302 citations

    2

    h-index

  4. BK
    BooJoong Kang

    Queen's University Belfast, United Kingdom

    2 publications · 93 citations

    2

    h-index

  5. MF
    Muddassar Farooq

    National University of Computer and Emerging Sciences, Pakistan

    2 publications · 92 citations

    2

    h-index

1–5 of 209

Venues

  1. Computers & Security

    5 publications · 348 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 359 citations

    5

    h-index

  3. Applied Soft Computing

    2 publications · 87 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Information Security and Applications

    JISA · 2 publications · 131 citations

    2

    h-index

1–5