Api Call Trace Analysis

API Call Trace Analysis is a dynamic malware analysis method that involves the systematic monitoring and examination of application programming interface (API) invocations made by a Windows executable during its execution, distinguished by its focus on identifying malicious behavioral patterns through the temporal and contextual sequence of system-level function calls.

29

Publications

2K

Citations

104

Authors

46

Institutions

Publications per year

2017–2026

17

Authors

104

  1. GU
    Gias Uddin

    McGill University, Canada

    2 publications · 79 citations

    2

    h-index

  2. AN
    Andrii Nicheporuk

    Khmelnytskyi National University, Ukraine

    1 publications · 23 citations

    1

    h-index

  3. MN
    Masahide Nakamura

    Kobe University, Japan

    1 publications · 31 citations

    1

    h-index

  4. PL
    Píetro Lió

    University of Cambridge, United Kingdom

    1 publications · 52 citations

    1

    h-index

  5. DT
    Deyu Tang

    Guangdong Pharmaceutical University, China

    1 publications · 29 citations

    1

    h-index

1–5 of 104

Venues

  1. Computers & Security

    4 publications · 311 citations

    4

    h-index

  2. Information and Software Technology

    3 publications · 89 citations

    3

    h-index

  3. Institutional Repositories DataBase (IRDB)

    Repository · 1 publications · 31 citations

    1

    h-index

  4. 1

    h-index

  5. Software Practice and Experience

    1 publications · 11 citations

    1

    h-index

1–5