Polymorphic Malware Classification

Polymorphic Malware Classification is a malware classification approach that distinguishes polymorphic malware from other malware types by identifying structural or behavioral patterns that persist despite encryption, obfuscation, or code mutation techniques designed to evade signature-based detection.

16

Publications

892

Citations

50

Authors

23

Institutions

Publications per year

2017–2026

7

Authors

50

  1. TM
    Tyler Moore

    University of Tulsa, United States

    2 publications · 128 citations

    2

    h-index

  2. MF
    Ming Fan

    Xi'an Jiaotong University, China

    2 publications · 294 citations

    2

    h-index

  3. YX
    Yang Xiang

    Deakin University, Australia

    2 publications · 133 citations

    2

    h-index

  4. JD
    Jake Drew

    Southern Methodist University, United States

    2 publications · 128 citations

    2

    h-index

  5. KC
    Kai Chen

    Chinese Academy of Sciences, China

    2 publications · 294 citations

    2

    h-index

1–5 of 50

Venues

  1. Sensors

    1 publications · 20 citations

    1

    h-index

  2. USENIX Security Symposium

    Conference · 1 publications · 97 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Computers

    1 publications · 89 citations

    1

    h-index

  5. EURASIP Journal on Information Security

    1 publications · 58 citations

    1

    h-index

1–5