Api Call Analysis

API Call Analysis is a methodological approach in behavioral malware analysis that involves the systematic examination of application programming interface (API) invocation sequences to characterize and infer malicious software behavior, distinguished by its focus on runtime interactions with operating system services as observed in unpacked or partially unpacked execution traces.

284

Publications

16.7K

Citations

877

Authors

300

Institutions

Publications per year

2017–2026

141

Authors

877

  1. JK
    Jacques Klein

    University of Luxembourg, Luxembourg

    8 publications · 450 citations

    8

    h-index

  2. LL
    Li Li

    Monash University, Australia

    8 publications · 456 citations

    8

    h-index

  3. TF
    Tegawendé F. Bissyandé

    University of Luxembourg, Luxembourg

    8 publications · 450 citations

    8

    h-index

  4. MM
    Mira Mezini

    Technische Universität Darmstadt, Germany

    5 publications · 524 citations

    5

    h-index

  5. MA
    Mohd Aizaini Maarof

    University of Technology Malaysia, Malaysia

    4 publications · 182 citations

    4

    h-index

1–5 of 877

Venues

  1. Computers & Security

    14 publications · 929 citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 194 citations

    10

    h-index

  3. Applied Sciences

    6 publications · 191 citations

    6

    h-index

  4. IEEE Access

    6 publications · 236 citations

    6

    h-index

  5. ACM SIGPLAN Notices

    5 publications · 282 citations

    5

    h-index

1–5