Malware Clustering

Malware Clustering is a computational analysis method that partitions malware samples into groups based on shared characteristics or behavioral patterns, enabling the identification of related threats and facilitating large-scale malware intelligence.

114

Publications

6.4K

Citations

367

Authors

155

Institutions

Publications per year

2017–2026

42

Authors

367

  1. RP
    Roberto Perdisci

    Georgia Institute of Technology, United States

    5 publications · 1.5K citations

    5

    h-index

  2. JJ
    Jiyong Jang

    Carnegie Mellon University, United States

    4 publications · 343 citations

    4

    h-index

  3. DS
    Douglas S. Reeves

    North Carolina State University, United States

    3 publications · 138 citations

    3

    h-index

  4. YP
    Younghee Park

    San Jose State University, United States

    3 publications · 138 citations

    3

    h-index

  5. MS
    Mark Stamp

    San Jose State University, United States

    3 publications · 157 citations

    3

    h-index

1–5 of 367

Venues

  1. IEEE Access

    9 publications · 309 citations

    9

    h-index

  2. 7

    h-index

  3. Digital Investigation

    2 publications · 56 citations

    2

    h-index

  4. Journal in Computer Virology

    2 publications · 197 citations

    2

    h-index

  5. 2

    h-index

1–5