Code Similarity Analysis

Code Similarity Analysis is a computational method within the field of malware intelligence that identifies and quantifies structural and semantic resemblances between software binaries or source codes to facilitate tasks such as malware attribution, classification, and code reuse detection.

435

Publications

27.2K

Citations

1.2K

Authors

377

Institutions

Publications per year

2017–2026

202

Authors

1.2K

  1. CK
    Chanchal K. Roy

    University of Saskatchewan, Canada

    15 publications · 2K citations

    14

    h-index

  2. OK
    Oscar Karnalim

    Maranatha Christian University, Indonesia

    9 publications · 156 citations

    10

    h-index

  3. IK
    Iman Keivanloo

    Queen's University, Canada

    9 publications · 563 citations

    9

    h-index

  4. JR
    Juergen Rilling

    Concordia University, Canada

    8 publications · 251 citations

    8

    h-index

  5. EY
    Eran Yahav

    Technion – Israel Institute of Technology, Israel

    7 publications · 559 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 362 citations

    13

    h-index

  2. IEEE Access

    10 publications · 271 citations

    11

    h-index

  3. Journal of Systems and Software

    JSS · 7 publications · 240 citations

    8

    h-index

  4. ACM Transactions on Software Engineering and Methodology

    TOSEM · 7 publications · 222 citations

    7

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 7 publications · 2.4K citations

    7

    h-index

1–5