Binary Malware Classification

Binary Malware Classification is a malware classification approach that specifically involves the analysis and categorization of executable binary files without reliance on source code, distinguishing it from other methods by its exclusive dependence on compiled program representations for detecting and differentiating malicious software.

122

Publications

7.5K

Citations

375

Authors

157

Institutions

Publications per year

2017–2026

85

Authors

375

  1. LN
    Lakshmanan Nataraj

    University of California, Santa Barbara, United States

    4 publications · 1.5K citations

    4

    h-index

  2. JW
    Jack W. Stokes

    Microsoft (United States), United States

    3 publications · 501 citations

    3

    h-index

  3. MF
    Muddassar Farooq

    National University of Computer and Emerging Sciences, Pakistan

    3 publications · 201 citations

    3

    h-index

  4. BM
    B.S. Manjunath

    University of California, Santa Barbara, United States

    3 publications · 1.3K citations

    3

    h-index

  5. EG
    Eul Gyu Im

    Hanyang University, South Korea

    3 publications · 143 citations

    3

    h-index

1–5 of 375

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 836 citations

    13

    h-index

  2. IEEE Access

    9 publications · 392 citations

    9

    h-index

  3. Journal of Information Security and Applications

    JISA · 5 publications · 275 citations

    5

    h-index

  4. Digital Investigation

    3 publications · 176 citations

    3

    h-index

  5. Computers & Security

    3 publications · 223 citations

    3

    h-index

1–5