Automated Malware Analysis

Automated Malware Analysis is a systematic computational methodology that distinguishes itself by enabling the dynamic and static examination of malicious software with minimal human intervention to identify, characterize, and classify malware behaviors and attributes.

353

Publications

25K

Citations

1K

Authors

410

Institutions

Publications per year

2017–2026

157

Authors

1K

  1. CK
    Christopher Kruegel

    University of California, Santa Barbara, United States

    11 publications · 1.5K citations

    11

    h-index

  2. SJ
    Somesh Jha

    University of Wisconsin–Madison, United States

    6 publications · 707 citations

    6

    h-index

  3. TH
    Thorsten Holz

    Ruhr University Bochum, Germany

    6 publications · 1.7K citations

    6

    h-index

  4. HY
    Heng Yin

    Syracuse University, United States

    5 publications · 760 citations

    5

    h-index

  5. AL
    Arun Lakhotia

    University of Louisiana at Lafayette, United States

    5 publications · 121 citations

    5

    h-index

1–5 of 1K

Venues

  1. Computers & Security

    15 publications · 1.4K citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 16 publications · 969 citations

    13

    h-index

  3. 6

    h-index

  4. Journal in Computer Virology

    6 publications · 340 citations

    6

    h-index

  5. 5

    h-index

1–5