Binary Similarity Analysis

Binary Similarity Analysis is a method in the field of malware analysis that identifies and quantifies structural and semantic correspondences between executable binaries to infer relationships such as code reuse, plagiarism, or common provenance, distinguishing itself from other program comparison techniques by operating solely on compiled machine code without reliance on source code or symbolic information.

116

Publications

7.6K

Citations

330

Authors

129

Institutions

Publications per year

2017–2026

56

Authors

330

  1. YD
    Yaniv David

    Technion – Israel Institute of Technology, Israel

    8 publications · 662 citations

    8

    h-index

  2. EY
    Eran Yahav

    Technion – Israel Institute of Technology, Israel

    8 publications · 662 citations

    8

    h-index

  3. NP
    Nimrod Partush

    Technion – Israel Institute of Technology, Israel

    7 publications · 478 citations

    7

    h-index

  4. EG
    Eul Gyu Im

    Hanyang University, South Korea

    4 publications · 165 citations

    4

    h-index

  5. BK
    BooJoong Kang

    Queen's University Belfast, United Kingdom

    4 publications · 165 citations

    4

    h-index

1–5 of 330

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 112 citations

    5

    h-index

  2. ACM SIGPLAN Notices

    4 publications · 231 citations

    4

    h-index

  3. ACM Transactions on Software Engineering and Methodology

    TOSEM · 3 publications · 98 citations

    3

    h-index

  4. Expert Systems with Applications

    2 publications · 73 citations

    2

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 2 publications · 117 citations

    2

    h-index

1–5