Api Call Sequence Analysis

API Call Sequence Analysis is a malware classification method that distinguishes malicious software by analyzing the temporal and contextual order of application programming interface (API) calls made during program execution, thereby identifying characteristic behavioral patterns indicative of specific malware families or types.

99

Publications

5.1K

Citations

313

Authors

123

Institutions

Publications per year

2017–2026

59

Authors

313

  1. TT
    Tam The Nguyen

    Utah State University, United States

    3 publications · 139 citations

    3

    h-index

  2. AS
    Asaf Shabtai

    Ben-Gurion University of the Negev, Israel

    3 publications · 55 citations

    3

    h-index

  3. PM
    Phong Minh Vu

    Utah State University, United States

    3 publications · 139 citations

    3

    h-index

  4. LR
    Lior Rokach

    Ben-Gurion University of the Negev, Israel

    3 publications · 55 citations

    3

    h-index

  5. YE
    Yuval Elovici

    Ben-Gurion University of the Negev, Israel

    3 publications · 55 citations

    3

    h-index

1–5 of 313

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 162 citations

    8

    h-index

  2. Computers & Security

    7 publications · 641 citations

    7

    h-index

  3. Applied Sciences

    5 publications · 157 citations

    5

    h-index

  4. IET Information Security

    2 publications · 124 citations

    2

    h-index

  5. Security and Communication Networks

    2 publications · 38 citations

    2

    h-index

1–5