Malware Sample Clustering

Malware Sample Clustering is the computational process of grouping malware samples into coherent classes based on shared behavioral, structural, or code-level attributes, enabling automated categorization and triage in large-scale malware analysis.

41

Publications

1.9K

Citations

135

Authors

65

Institutions

Publications per year

2017–2026

15

Authors

135

  1. XH
    Xin Hu

    Wuhan University, China

    3 publications · 160 citations

    3

    h-index

  2. CO
    Ciprian Oprişa

    Technical University of Cluj-Napoca, Romania

    2 publications · 35 citations

    2

    h-index

  3. UB
    Ulrich Bayer

    EURECOM, France

    2 publications · 586 citations

    2

    h-index

  4. MS
    Mark Stamp

    San Jose State University, United States

    2 publications · 68 citations

    2

    h-index

  5. PW
    Paul Watters

    Federation University, Australia

    2 publications · 35 citations

    2

    h-index

1–5 of 135

Venues

  1. 5

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  2. IEEE Access

    2 publications · 30 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5