Multi-label Malware Classification

Multi-Label Malware Classification is a malware classification paradigm that, as a singular academic concept, extends traditional single-label classification by allowing a given malware sample to be assigned multiple distinct class labels simultaneously, reflecting its membership in more than one malware category or family according to specific analytical criteria.

6

Publications

126

Citations

25

Authors

9

Institutions

Publications per year

2017–2026

6

Authors

25

  1. XW
    Xiaobo Wu

    Guangzhou University, China

    1 publications · 34 citations

    1

    h-index

  2. QQ
    Qijing Qiao

    UNSW Sydney, Australia

    1 publications · 12 citations

    1

    h-index

  3. ZH
    Zheng-Gang He

    Institute for Information Industry, Taiwan

    1 publications · 15 citations

    1

    h-index

  4. DC
    Ding-Jie Chen

    National Tsing Hua University, Taiwan

    1 publications · 31 citations

    1

    h-index

  5. SL
    Shudong Li

    Guangzhou University, China

    1 publications · 34 citations

    1

    h-index

1–5 of 25

Venues

  1. IACR Cryptology ePrint Archive

    Repository · 1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. Computers & Security

    1 publications · 17 citations

    1

    h-index

  4. IEEE Access

    1 publications · 15 citations

    1

    h-index

  5. ACM Transactions on the Web

    TWEB · 1 publications · 31 citations

    1

    h-index

1–5