Polymorphic Malware Analysis

Polymorphic Malware Analysis is a specialized method within malware reverse engineering that dynamically analyzes malware variants exhibiting polymorphic code transformations to identify invariant behavioral or structural patterns for detection and classification.

30

Publications

2.7K

Citations

83

Authors

46

Institutions

Publications per year

2017–2026

8

Authors

83

  1. CK
    Christopher Kruegel

    University of California, Santa Barbara, United States

    3 publications · 243 citations

    3

    h-index

  2. UB
    Ulrich Bayer

    EURECOM, France

    3 publications · 232 citations

    3

    h-index

  3. SM
    Srinivas Mukkamala

    New Mexico Institute of Mining and Technology, United States

    3 publications · 100 citations

    3

    h-index

  4. EK
    Engin Kirda

    Northeastern University, United States

    3 publications · 232 citations

    3

    h-index

  5. AH
    Andrew H. Sung

    New Mexico Institute of Mining and Technology, United States

    3 publications · 100 citations

    3

    h-index

1–5 of 83

Venues

  1. Computer Networks

    1 publications · 18 citations

    1

    h-index

  2. Symmetry

    1 publications · 197 citations

    1

    h-index

  3. Computers in Industry

    1 publications · 39 citations

    1

    h-index

  4. 2022 IEEE International Conference on Big Data (Big Data)

    Conference · 1 publications · 33 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5