Static Malware Classification

Static Malware Classification is a malware analysis approach that identifies and categorizes malicious software based on intrinsic features extracted directly from binary code or file attributes without executing the program.

191

Publications

12.3K

Citations

614

Authors

242

Institutions

Publications per year

2017–2026

122

Authors

614

  1. EG
    Ekta Gandotra

    Jaypee University of Information Technology, India

    5 publications · 135 citations

    5

    h-index

  2. MS
    Mark Stamp

    San Jose State University, United States

    4 publications · 692 citations

    4

    h-index

  3. DB
    Divya Bansal

    Punjab Engineering College, India

    4 publications · 90 citations

    4

    h-index

  4. TH
    Thomas H. Austin

    San Jose State University, United States

    3 publications · 630 citations

    3

    h-index

  5. YS
    Yunsick Sung

    Dongguk University, South Korea

    3 publications · 146 citations

    3

    h-index

1–5 of 614

Venues

  1. Computers & Security

    10 publications · 352 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 495 citations

    9

    h-index

  3. 9

    h-index

  4. IEEE Access

    7 publications · 472 citations

    6

    h-index

  5. Symmetry

    4 publications · 130 citations

    4

    h-index

1–5