Control Flow Graph Analysis

Control Flow Graph Analysis is a static analysis technique in malware classification that represents a program’s execution paths as a directed graph to identify structural patterns and anomalies by examining the sequential order of basic blocks and their branching logic.

576

Publications

34.2K

Citations

1.4K

Authors

467

Institutions

Publications per year

2017–2026

117

Variants

Cfg Analysis

Authors

1.4K

  1. BG
    Barbara G. Ryder

    Rutgers, The State University of New Jersey, United States

    8 publications · 511 citations

    8

    h-index

  2. KK
    Ken Kennedy

    Rice University, United States

    7 publications · 331 citations

    7

    h-index

  3. TB
    Thomas Ball

    Microsoft (United States), United States

    5 publications · 256 citations

    5

    h-index

  4. MH
    Michael Hind

    IBM (United States), United States

    5 publications · 299 citations

    5

    h-index

  5. CC
    Cristina Cifuentes

    The University of Queensland, Australia

    5 publications · 274 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. ACM SIGPLAN Notices

    20 publications · 587 citations

    14

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 11 publications · 6.4K citations

    10

    h-index

  3. IEEE Transactions on Computers

    9 publications · 393 citations

    9

    h-index

  4. 8

    h-index

  5. ACM SIGSOFT Software Engineering Notes

    SEN · 6 publications · 133 citations

    6

    h-index

1–5