Malware Similarity Analysis

Malware Similarity Analysis is a computational method in cybersecurity research that, within the genus of malware analysis techniques, distinguishes itself by quantifying structural, behavioral, or semantic correspondences between binary samples to determine their familial or functional relatedness.

92

Publications

4K

Citations

285

Authors

114

Institutions

Publications per year

2017–2026

36

Authors

285

  1. EG
    Eul Gyu Im

    Hanyang University, South Korea

    4 publications · 149 citations

    4

    h-index

  2. SC
    Silvio Cesare

    Deakin University, Australia

    3 publications · 261 citations

    3

    h-index

  3. SM
    Srinivas Mukkamala

    New Mexico Institute of Mining and Technology, United States

    3 publications · 68 citations

    3

    h-index

  4. JU
    Jason Upchurch

    United States Air Force Academy, United States

    3 publications · 80 citations

    3

    h-index

  5. HK
    Huy Kang Kim

    Korea University, South Korea

    3 publications · 140 citations

    3

    h-index

1–5 of 285

Venues

  1. IEEE Access

    2 publications · 119 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 43 citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 72 citations

    2

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 2 publications · 182 citations

    2

    h-index

  5. Applied Sciences

    2 publications · 31 citations

    2

    h-index

1–5